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冯佳时
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2020 – today
- 2024
[j99]Hao Wang
, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Jiashi Feng, Zhiqi Shen:
ManiCLIP: Multi-attribute Face Manipulation from Text. Int. J. Comput. Vis. 132(10): 4616-4632 (2024)- [j98]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 896-912 (2024) - [j97]Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2506-2517 (2024) - [c238]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou:
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CVPR 2024: 1481-1490 - [c237]Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. CVPR 2024: 10371-10381 - [c236]Fan Ma, Xiaojie Jin, Heng Wang, Yuchen Xian, Jiashi Feng, Yi Yang:
Vista-llama: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens. CVPR 2024: 13151-13160 - [c235]Mingfei Han, Linjie Yang, Xiaojie Jin, Jiashi Feng, Xiaojun Chang, Heng Wang:
Video Recognition in Portrait Mode. CVPR 2024: 21831-21841 - [c234]Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, Xiaojie Jin:
PixelLM: Pixel Reasoning with Large Multimodal Model. CVPR 2024: 26364-26373 - [c233]Xiaojie Jin, Bowen Zhang, Weibo Gong, Kai Xu, Xueqing Deng, Peng Wang, Zhao Zhang, Xiaohui Shen, Jiashi Feng:
MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval. CVPR 2024: 27134-27143 - [c232]Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu:
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model. ICLR 2024 - [c231]Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan:
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. ICLR 2024 - [i271]Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng:
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. CoRR abs/2401.04468 (2024) - [i270]Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. CoRR abs/2401.10891 (2024) - [i269]Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng:
Magic-Me: Identity-Specific Video Customized Diffusion. CoRR abs/2402.09368 (2024) - [i268]Fan Yang, Jianfeng Zhang, Yichun Shi, Bowen Chen, Chenxu Zhang, Huichao Zhang, Xiaofeng Yang, Jiashi Feng, Guosheng Lin:
Magic-Boost: Boost 3D Generation with Mutli-View Conditioned Diffusion. CoRR abs/2404.06429 (2024) - [i267]Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See-Kiong Ng, Jiashi Feng:
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning. CoRR abs/2404.16994 (2024) - [i266]Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou:
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR abs/2405.01434 (2024) - [i265]Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng:
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR abs/2405.07510 (2024) - [i264]Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng:
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. CoRR abs/2405.13722 (2024) - [i263]Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang:
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CoRR abs/2405.18428 (2024) - [i262]Tiancheng Shen, Jun Hao Liew, Long Mai, Lu Qi, Jiashi Feng, Jiaya Jia:
Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations. CoRR abs/2406.00121 (2024) - [i261]Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Jifeng Dai, Xiaojie Jin:
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams. CoRR abs/2406.08085 (2024) - [i260]Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything V2. CoRR abs/2406.09414 (2024) - [i259]Yiqin Wang, Haoji Zhang, Yansong Tang, Yong Liu, Jiashi Feng, Jifeng Dai, Xiaojie Jin:
Hierarchical Memory for Long Video QA. CoRR abs/2407.00603 (2024) - [i258]Zhongcong Xu, Chaoyue Song, Guoxian Song, Jianfeng Zhang, Jun Hao Liew, Hongyi Xu, You Xie, Linjie Luo, Guosheng Lin, Jiashi Feng, Mike Zheng Shou:
High Quality Human Image Animation using Regional Supervision and Motion Blur Condition. CoRR abs/2409.19580 (2024) - [i257]Yuqing Wang, Tianwei Xiong, Daquan Zhou, Zhijie Lin, Yang Zhao, Bingyi Kang, Jiashi Feng, Xihui Liu:
Loong: Generating Minute-level Long Videos with Autoregressive Language Models. CoRR abs/2410.02757 (2024) - 2023
- [j96]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1328-1334 (2023) - [j95]Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6575-6586 (2023) - [j94]Jianfeng Zhang, Kehong Gong, Xinchao Wang, Jiashi Feng:
Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10012-10026 (2023) - [j93]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j92]Daquan Zhou, Qibin Hou, Linjie Yang, Xiaojie Jin, Jiashi Feng:
Token Selection is a Simple Booster for Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12738-12746 (2023) - [c230]Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou:
DOAD: Decoupled One Stage Action Detection Network. CVPR Workshops 2023: 3123-3232 - [c229]Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li:
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring. CVPR 2023: 6555-6564 - [c228]Hongyi Xu, Guoxian Song, Zihang Jiang, Jianfeng Zhang, Yichun Shi, Jing Liu, Wan-Chun Ma, Jiashi Feng, Linjie Luo:
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis. CVPR 2023: 12814-12824 - [c227]Jingjia Huang, Yinan Li, Jiashi Feng, Xinglong Wu, Xiaoshuai Sun, Rongrong Ji:
Clover: Towards A Unified Video-Language Alignment and Fusion Model. CVPR 2023: 14856-14866 - [c226]Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap:
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision. CVPR 2023: 16805-16815 - [c225]Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CVPR 2023: 22552-22562 - [c224]Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei:
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. ICCV 2023: 797-807 - [c223]Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng:
GETAvatar: Generative Textured Meshes for Animatable Human Avatars. ICCV 2023: 2273-2282 - [c222]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. ICCV 2023: 17159-17170 - [c221]Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR 2023 - [c220]Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou:
PV3D: A 3D Generative Model for Portrait Video Generation. ICLR 2023 - [c219]Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You:
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. ICLR 2023 - [c218]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML 2023: 36670-36693 - [c217]Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor:
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML 2023: 36694-36713 - [c216]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou:
XAGen: 3D Expressive Human Avatars Generation. NeurIPS 2023 - [c215]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. NeurIPS 2023 - [i256]Chengze Lu, Xiaojie Jin, Zhicheng Huang, Qibin Hou, Ming-Ming Cheng, Jiashi Feng:
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. CoRR abs/2301.06018 (2023) - [i255]Fan Ma, Xiaojie Jin, Heng Wang, Jingjia Huang, Linchao Zhu, Jiashi Feng, Yi Yang:
Temporal Perceiving Video-Language Pre-training. CoRR abs/2301.07463 (2023) - [i254]Bowen Zhang, Xiaojie Jin, Weibo Gong, Kai Xu, Zhao Zhang, Peng Wang, Xiaohui Shen, Jiashi Feng:
Multimodal Video Adapter for Parameter Efficient Video Text Retrieval. CoRR abs/2301.07868 (2023) - [i253]Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li:
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring. CoRR abs/2301.11116 (2023) - [i252]Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao:
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. CoRR abs/2303.09181 (2023) - [i251]Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap:
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision. CoRR abs/2303.13273 (2023) - [i250]Guoxian Song, Hongyi Xu, Jing Liu, Tiancheng Zhi, Yichun Shi, Jianfeng Zhang, Zihang Jiang, Jiashi Feng, Shen Sang, Linjie Luo:
AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning. CoRR abs/2303.14297 (2023) - [i249]Hongyi Xu, Guoxian Song, Zihang Jiang, Jianfeng Zhang, Yichun Shi, Jing Liu, Wan-Chun Ma, Jiashi Feng, Linjie Luo:
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis. CoRR abs/2303.15539 (2023) - [i248]Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou:
DOAD: Decoupled One Stage Action Detection Network. CoRR abs/2304.00254 (2023) - [i247]Yabo Zhang, Zihao Wang, Jun Hao Liew, Jingjia Huang, Manyu Zhu, Jiashi Feng, Wangmeng Zuo:
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation. CoRR abs/2304.01114 (2023) - [i246]Xingjian He, Sihan Chen, Fan Ma, Zhicheng Huang, Xiaojie Jin, Zikang Liu, Dongmei Fu, Yi Yang, Jing Liu, Jiashi Feng:
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending. CoRR abs/2305.13167 (2023) - [i245]Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng:
Delving Deeper into Data Scaling in Masked Image Modeling. CoRR abs/2305.15248 (2023) - [i244]Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu:
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model. CoRR abs/2306.09085 (2023) - [i243]Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang:
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs. CoRR abs/2307.08581 (2023) - [i242]Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan:
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. CoRR abs/2307.10711 (2023) - [i241]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. CoRR abs/2308.10524 (2023) - [i240]Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew:
MagicAvatar: Multimodal Avatar Generation and Animation. CoRR abs/2308.14748 (2023) - [i239]Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng:
MagicEdit: High-Fidelity and Temporally Coherent Video Editing. CoRR abs/2308.14749 (2023) - [i238]Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng:
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. CoRR abs/2309.00908 (2023) - [i237]Yupeng Zhou, Daquan Zhou, Zuo-Liang Zhu, Yaxing Wang, Qibin Hou, Jiashi Feng:
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask. CoRR abs/2309.04399 (2023) - [i236]Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng:
GETAvatar: Generative Textured Meshes for Animatable Human Avatars. CoRR abs/2310.02714 (2023) - [i235]Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen:
Low-Resolution Self-Attention for Semantic Segmentation. CoRR abs/2310.05026 (2023) - [i234]Yilin Zhao, Xinbin Yuan, Shanghua Gao, Zhijie Lin, Qibin Hou, Jiashi Feng, Daquan Zhou:
ChatAnything: Facetime Chat with LLM-Enhanced Personas. CoRR abs/2311.06772 (2023) - [i233]Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer:
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR abs/2311.07620 (2023) - [i232]Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng:
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR abs/2311.08562 (2023) - [i231]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou:
XAGen: 3D Expressive Human Avatars Generation. CoRR abs/2311.13574 (2023) - [i230]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou:
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CoRR abs/2311.16498 (2023) - [i229]Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang, Jun Hao Liew, Chenxu Zhang, Yi Yang, Jiashi Feng:
AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text. CoRR abs/2311.17917 (2023) - [i228]Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, Xiaojie Jin:
PixelLM: Pixel Reasoning with Large Multimodal Model. CoRR abs/2312.02228 (2023) - [i227]Fan Ma, Xiaojie Jin, Heng Wang, Yuchen Xian, Jiashi Feng, Yi Yang:
Vista-LLaMA: Reliable Video Narrator via Equal Distance to Visual Tokens. CoRR abs/2312.08870 (2023) - [i226]Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan:
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR abs/2312.12030 (2023) - [i225]Chenxu Zhang, Chao Wang, Jianfeng Zhang, Hongyi Xu, Guoxian Song, You Xie, Linjie Luo, Yapeng Tian, Xiaohu Guo, Jiashi Feng:
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation. CoRR abs/2312.13578 (2023) - [i224]Mingfei Han, Linjie Yang, Xiaojie Jin, Jiashi Feng, Xiaojun Chang, Heng Wang:
Video Recognition in Portrait Mode. CoRR abs/2312.13746 (2023) - [i223]Qiang Wan, Zilong Huang, Bingyi Kang, Jiashi Feng, Li Zhang:
Harnessing Diffusion Models for Visual Perception with Meta Prompts. CoRR abs/2312.14733 (2023) - 2022
- [j91]Jian Zhao, Shuicheng Yan, Jiashi Feng:
Towards Age-Invariant Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 474-487 (2022) - [j90]Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8538-8551 (2022) - [j89]Wenhan Yang, Robby T. Tan, Jiashi Feng, Shiqi Wang, Bin Cheng, Jiaying Liu:
Recurrent Multi-Frame Deraining: Combining Physics Guidance and Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8569-8586 (2022) - [j88]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8602-8617 (2022) - [j87]Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou:
Velocity-to-velocity human motion forecasting. Pattern Recognit. 124: 108424 (2022) - [j86]Xiaoguang Tu, Jian Zhao, Qiankun Liu, Wenjie Ai, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Joint Face Image Restoration and Frontalization for Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1285-1298 (2022) - [j85]Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1805-1819 (2022) - [j84]Zun Li, Congyan Lang, Liqian Liang, Jian Zhao, Songhe Feng, Qibin Hou, Jiashi Feng:
Dense Attentive Feature Enhancement for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8128-8141 (2022) - [j83]Zhikang Wang, Lihuo He, Xiaoguang Tu, Jian Zhao, Xinbo Gao, Shengmei Shen, Jiashi Feng:
Robust Video-Based Person Re-Identification by Hierarchical Mining. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8179-8191 (2022) - [j82]Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng:
SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation. IEEE Trans. Image Process. 31: 839-851 (2022) - [j81]Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. 2022 (2022) - [j80]Shuning Chang, Yanchao Li, Shengmei Shen, Jiashi Feng, Steven Zhiying Zhou:
Contrastive Attention for Video Anomaly Detection. IEEE Trans. Multim. 24: 4067-4076 (2022) - [c214]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR 2022: 7993-8003 - [c213]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CVPR 2022: 10809-10819 - [c212]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR 2022: 10843-10852 - [c211]Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CVPR 2022: 11007-11017 - [c210]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CVPR 2022: 16701-16710 - [c209]Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai, Jiashi Feng, Shuicheng Yan:
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering. ECCV (23) 2022: 222-239 - [c208]Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei:
Slim Scissors: Segmenting Thin Object from Synthetic Background. ECCV (29) 2022: 379-395 - [c207]Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: A 3D Generative Model for Animatable Human Avatars. ECCV Workshops (3) 2022: 668-685 - [c206]Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan:
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR 2022 - [c205]Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng:
Generalizing Few-Shot NAS with Gradient Matching. ICLR 2022 - [c204]Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng:
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 - [c203]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [c202]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. ICML 2022: 27378-27394 - [c201]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. IJCAI 2022: 1516-1522 - [c200]Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang:
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG 2022: 29 - [c199]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. NeurIPS 2022 - [c198]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. NeurIPS 2022 - [c197]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. NeurIPS 2022 - [i222]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. CoRR abs/2201.04397 (2022) - [i221]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i220]Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng:
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. CoRR abs/2202.07402 (2022) - [i219]Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng:
Generalizing Few-Shot NAS with Gradient Matching. CoRR abs/2203.15207 (2022) - [i218]Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CoRR abs/2203.15625 (2022) - [i217]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. CoRR abs/2204.12451 (2022) - [i216]Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang:
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR abs/2205.11279 (2022) - [i215]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. CoRR abs/2205.14083 (2022) - [i214]Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You:
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. CoRR abs/2205.14467 (2022) - [i213]Jingjia Huang, Yinan Li, Jiashi Feng, Xiaoshuai Sun, Rongrong Ji:
Clover: Towards A Unified Video-Language Alignment and Fusion Model. CoRR abs/2207.07885 (2022) - [i212]Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. CoRR abs/2207.13532 (2022) - [i211]Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: a 3D Generative Model for Animatable Human Avatars. CoRR abs/2208.00561 (2022) - [i210]Hao Wang, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Zehuan Yuan, Chunyan Miao, Jiashi Feng:
ManiCLIP: Multi-Attribute Face Manipulation from Text. CoRR abs/2210.00445 (2022) - [i209]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. CoRR abs/2210.08823 (2022) - [i208]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR abs/2210.13153 (2022) - [i207]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. CoRR abs/2210.13452 (2022) - [i206]Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng:
MagicMix: Semantic Mixing with Diffusion Models. CoRR abs/2210.16056 (2022) - [i205]Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng:
MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR abs/2211.11018 (2022) - [i204]Qibin Hou, Chengze Lu, Ming-Ming Cheng, Jiashi Feng:
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. CoRR abs/2211.11943 (2022) - [i203]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. CoRR abs/2211.13976 (2022) - [i202]Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: A 3D Generative Model for Animatable Human Avatars. CoRR abs/2211.14589 (2022) - [i201]Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CoRR abs/2211.17106 (2022) - [i200]Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou:
PV3D: A 3D Generative Model for Portrait Video Generation. CoRR abs/2212.06384 (2022) - [i199]Jingjia Huang, Yuanqi Chen, Jiashi Feng, Xinglong Wu:
Class Prototype-based Cleaner for Label Noise Learning. CoRR abs/2212.10766 (2022) - 2021
- [j79]Meng-Jiun Chiou, Roger Zimmermann, Jiashi Feng:
Visual Relationship Detection With Visual-Linguistic Knowledge From Multimodal Representations. IEEE Access 9: 50441-50451 (2021) - [j78]Zun Li, Congyan Lang, Tao Wang, Yidong Li, Jiashi Feng:
Deep spatio-frequency saliency detection. Neurocomputing 453: 645-655 (2021) - [j77]Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng:
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 459-472 (2021) - [j76]Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Tensor Low-Rank Representation for Data Recovery and Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1718-1732 (2021) - [j75]Zequn Jie, Peng Sun, Xi Li, Jiashi Feng, Wei Liu:
Anytime Recognition with Routing Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1875-1886 (2021) - [j74]Chuan-Xian Ren, Jiashi Feng, Dao-Qing Dai, Shuicheng Yan:
Heterogeneous Domain Adaptation via Covariance Structured Feature Translators. IEEE Trans. Cybern. 51(4): 2166-2177 (2021) - [j73]Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Feng:
Cross-Layer Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. 30: 4587-4598 (2021) - [j72]Yong Deng, Jimin Xiao, Steven Zhiying Zhou, Jiashi Feng:
Detail Preserving Coarse-to-Fine Matching for Stereo Matching and Optical Flow. IEEE Trans. Image Process. 30: 5835-5847 (2021) - [j71]Hongsong Wang, Jian Dong, Bin Cheng, Jiashi Feng:
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction. IEEE Trans. Image Process. 30: 6096-6106 (2021) - [j70]Ting Liu, Jianfeng Zhang, Xuecheng Nie, Yunchao Wei, Shikui Wei, Yao Zhao, Jiashi Feng:
Spatial-Aware Texture Transformer for High-Fidelity Garment Transfer. IEEE Trans. Image Process. 30: 7499-7510 (2021) - [j69]Xiaoguang Tu, Jian Zhao, Mei Xie, Zihang Jiang, Akshaya Balamurugan, Yao Luo, Yang Zhao, Lingxiao He, Zheng Ma, Jiashi Feng:
3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild. IEEE Trans. Multim. 23: 1160-1172 (2021) - [j68]Jianshu Li, Jian Zhao, Congyan Lang, Yidong Li, Yunchao Wei, Guodong Guo, Terence Sim, Shuicheng Yan, Jiashi Feng:
Multi-human Parsing with a Graph-based Generative Adversarial Model. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 29:1-29:21 (2021) - [c196]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. ACL/IJCNLP (Findings) 2021: 13-27 - [c195]Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM 2021: 2728-2737 - [c194]Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. CVPR 2021: 546-556 - [c193]Kehong Gong, Jianfeng Zhang, Jiashi Feng:
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation. CVPR 2021: 8575-8584 - [c192]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CVPR 2021: 13713-13722 - [c191]Jian Liang, Dapeng Hu, Jiashi Feng:
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. CVPR 2021: 16632-16642 - [c190]Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng:
Continual Learning via Bit-Level Information Preserving. CVPR 2021: 16674-16683 - [c189]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. ICCV 2021: 327-336 - [c188]Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. ICCV 2021: 538-547 - [c187]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. ICCV 2021: 3144-3153 - [c186]Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
PnP-DETR: Towards Efficient Visual Analysis with Transformers. ICCV 2021: 4641-4650 - [c185]Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng:
Exploring Balanced Feature Spaces for Representation Learning. ICLR 2021 - [c184]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML 2021: 11003-11012 - [c183]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. ICML 2021: 11693-11703 - [c182]Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang, Roger Zimmermann, Jiashi Feng:
ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos. ICDAR@ICMR 2021: 9-17 - [c181]Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu:
ModularNAS: Towards Modularized and Reusable Neural Architecture Search. MLSys 2021 - [c180]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. ACM Multimedia 2021: 1581-1590 - [c179]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS 2021: 5972-5984 - [c178]Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng:
Direct Multi-view Multi-person 3D Pose Estimation. NeurIPS 2021: 13153-13164 - [c177]Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng:
All Tokens Matter: Token Labeling for Training Better Vision Transformers. NeurIPS 2021: 18590-18602 - [c176]Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan:
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS 2021: 27290-27304 - [c175]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS 2021: 29848-29860 - [c174]Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi:
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI 2021: 23-33 - [c173]Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Jiashi Feng:
Deep Interactive Thin Object Selection. WACV 2021: 305-314 - [c172]Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng:
DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. WACV 2021: 345-354 - [i198]Shaofei Huang, Si Liu, Tianrui Hui, Jizhong Han, Bo Li, Jiashi Feng, Shuicheng Yan:
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing. CoRR abs/2101.03929 (2021) - [i197]Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. CoRR abs/2101.11986 (2021) - [i196]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. CoRR abs/2102.05311 (2021) - [i195]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR abs/2102.06605 (2021) - [i194]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CoRR abs/2103.02907 (2021) - [i193]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. CoRR abs/2103.11833 (2021) - [i192]Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng:
DeepViT: Towards Deeper Vision Transformer. CoRR abs/2103.11886 (2021) - [i191]Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Jiashi Feng:
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation. CoRR abs/2103.16024 (2021) - [i190]Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR abs/2104.01539 (2021) - [i189]Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng:
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. CoRR abs/2104.10858 (2021) - [i188]Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng:
How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR abs/2104.12081 (2021) - [i187]Kehong Gong, Jianfeng Zhang, Jiashi Feng:
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation. CoRR abs/2105.02465 (2021) - [i186]Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. CoRR abs/2105.02467 (2021) - [i185]Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng:
Continual Learning via Bit-Level Information Preserving. CoRR abs/2105.04444 (2021) - [i184]Xiaoguang Tu, Jian Zhao, Qiankun Liu, Wenjie Ai, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Joint Face Image Restoration and Frontalization for Recognition. CoRR abs/2105.09907 (2021) - [i183]Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang, Roger Zimmermann, Jiashi Feng:
ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos. CoRR abs/2105.11731 (2021) - [i182]Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. CoRR abs/2105.12324 (2021) - [i181]Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. CoRR abs/2105.14678 (2021) - [i180]Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng:
Refiner: Refining Self-attention for Vision Transformers. CoRR abs/2106.03714 (2021) - [i179]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR abs/2106.05001 (2021) - [i178]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. CoRR abs/2106.11740 (2021) - [i177]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. CoRR abs/2106.12368 (2021) - [i176]Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. CoRR abs/2106.13112 (2021) - [i175]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. CoRR abs/2107.02112 (2021) - [i174]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR abs/2107.05545 (2021) - [i173]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. CoRR abs/2107.09249 (2021) - [i172]Tian Yu Liu, Jiashi Feng:
Triplet Contrastive Learning for Brain Tumor Classification. CoRR abs/2108.03611 (2021) - [i171]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. CoRR abs/2109.02497 (2021) - [i170]Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR abs/2109.05765 (2021) - [i169]Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
PnP-DETR: Towards Efficient Visual Analysis with Transformers. CoRR abs/2109.07036 (2021) - [i168]Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan:
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR abs/2110.03141 (2021) - [i167]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. CoRR abs/2110.04596 (2021) - [i166]Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng:
Direct Multi-view Multi-person 3D Pose Estimation. CoRR abs/2111.04076 (2021) - [i165]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CoRR abs/2111.11418 (2021) - [i164]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR abs/2111.15193 (2021) - [i163]Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Jiashi Feng, Shuicheng Yan:
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering. CoRR abs/2112.04312 (2021) - [i162]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CoRR abs/2112.04731 (2021) - [i161]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR abs/2112.08553 (2021) - 2020
- [j67]Jian Zhao, Junliang Xing, Lin Xiong, Shuicheng Yan, Jiashi Feng:
Recognizing Profile Faces by Imagining Frontal View. Int. J. Comput. Vis. 128(2): 460-478 (2020) - [j66]Jian Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Fine-Grained Multi-human Parsing. Int. J. Comput. Vis. 128(8): 2185-2203 (2020) - [j65]Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo:
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage 206 (2020) - [j64]Minh Nguyen, Tong He, Lijun An, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo:
Predicting Alzheimer's disease progression using deep recurrent neural networks. NeuroImage 222: 117203 (2020) - [j63]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 925-938 (2020) - [j62]Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng:
Online Meta Adaptation for Fast Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1205-1217 (2020) - [j61]Wenhan Yang, Robby T. Tan, Jiashi Feng, Zongming Guo, Shuicheng Yan, Jiaying Liu:
Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1377-1393 (2020) - [j60]Mengyin Wang, Xiangbo Shu, Jiashi Feng, Xun Wang, Jinhui Tang:
Deep multi-person kinship matching and recognition for family photos. Pattern Recognit. 105: 107342 (2020) - [j59]Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yanchun Xie, Jiashi Feng:
Adaptive ROI generation for video object segmentation using reinforcement learning. Pattern Recognit. 106: 107465 (2020) - [j58]Yang Zhao, Yong Dou, Jiashi Feng:
Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos. IEEE Signal Process. Lett. 27: 1949-1953 (2020) - [j57]Xiaopeng Zhang, Yang Yang, Hongkai Xiong, Jiashi Feng:
PML-LocNet: Improving Object Localization With Prior-Induced Multi-View Learning Network. IEEE Trans. Image Process. 29: 2568-2582 (2020) - [j56]Shaofei Huang, Si Liu, Tianrui Hui, Jizhong Han, Bo Li, Jiashi Feng, Shuicheng Yan:
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing. IEEE Trans. Image Process. 29: 8251-8263 (2020) - [j55]Xiaoguang Tu, Zheng Ma, Jian Zhao, Guodong Du, Mei Xie, Jiashi Feng:
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing. ACM Trans. Intell. Syst. Technol. 11(5): 60:1-60:19 (2020) - [j54]Li Yuan, Francis Eng Hock Tay, Ping Li, Jiashi Feng:
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks. IEEE Trans. Multim. 22(10): 2711-2722 (2020) - [j53]Pengfei Ge, Chuan-Xian Ren, Dao-Qing Dai, Jiashi Feng, Shuicheng Yan:
Dual Adversarial Autoencoders for Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1417-1424 (2020) - [j52]Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, Joey Tianyi Zhou:
Deep Clustering With Sample-Assignment Invariance Prior. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4857-4868 (2020) - [j51]Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan:
Deep Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5509-5521 (2020) - [c171]Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng:
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection. CVPR 2020: 479-487 - [c170]Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng:
Central Similarity Quantization for Efficient Image and Video Retrieval. CVPR 2020: 3080-3089 - [c169]Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng:
Revisiting Knowledge Distillation via Label Smoothing Regularization. CVPR 2020: 3902-3910 - [c168]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CVPR 2020: 4002-4011 - [c167]Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. CVPR 2020: 5193-5201 - [c166]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. CVPR 2020: 10093-10102 - [c165]Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng:
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. CVPR 2020: 10988-10997 - [c164]Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. CVPR 2020: 12573-12581 - [c163]Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng:
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. ECCV (7) 2020: 35-51 - [c162]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) 2020: 123-140 - [c161]Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. ECCV (3) 2020: 680-697 - [c160]Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) 2020: 728-744 - [c159]Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng:
Query-efficient Meta Attack to Deep Neural Networks. ICLR 2020 - [c158]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR 2020 - [c157]Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng:
On Robustness of Neural Ordinary Differential Equations. ICLR 2020 - [c156]Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng:
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. ICLR 2020 - [c155]Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR 2020 - [c154]Jian Liang, Dapeng Hu, Jiashi Feng:
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. ICML 2020: 6028-6039 - [c153]Shuning Chang, Li Yuan, Xuecheng Nie, Ziyuan Huang, Yichen Zhou, Yupeng Chen, Jiashi Feng, Shuicheng Yan:
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes. ACM Multimedia 2020: 4630-4634 - [c152]Li Yuan, Shuning Chang, Ziyuan Huang, Yichen Zhou, Yupeng Chen, Xuecheng Nie, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
A Simple Baseline for Pose Tracking in Videos of Crowed Scenes. ACM Multimedia 2020: 4684-4688 - [c151]Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yupeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan:
Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes. ACM Multimedia 2020: 4694-4698 - [c150]Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
ConvBERT: Improving BERT with Span-based Dynamic Convolution. NeurIPS 2020 - [c149]Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang:
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. NeurIPS 2020 - [c148]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. NeurIPS 2020 - [c147]Jianfeng Zhang, Xuecheng Nie, Jiashi Feng:
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation. NeurIPS 2020 - [c146]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E:
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS 2020 - [c145]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. WWW 2020: 2507-2513 - [i160]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. CoRR abs/2001.10378 (2020) - [i159]Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng:
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. CoRR abs/2002.04326 (2020) - [i158]Jian Liang, Dapeng Hu, Jiashi Feng:
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. CoRR abs/2002.08546 (2020) - [i157]Zun Li, Congyan Lang, Jun Hao Liew, Qibin Hou, Yidong Li, Jiashi Feng:
Cross-layer Feature Pyramid Network for Salient Object Detection. CoRR abs/2002.10864 (2020) - [i156]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR abs/2003.02541 (2020) - [i155]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
PANDA: Prototypical Unsupervised Domain Adaptation. CoRR abs/2003.13274 (2020) - [i154]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CoRR abs/2003.13328 (2020) - [i153]Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng:
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. CoRR abs/2004.14798 (2020) - [i152]Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. CoRR abs/2005.13826 (2020) - [i151]Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Effective Training Strategies for Deep Graph Neural Networks. CoRR abs/2006.07107 (2020) - [i150]Kuangqi Zhou, Qibin Hou, Zun Li, Jiashi Feng:
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation. CoRR abs/2006.07834 (2020) - [i149]Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng:
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax. CoRR abs/2006.10408 (2020) - [i148]Jianfeng Zhang, Xuecheng Nie, Jiashi Feng:
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation. CoRR abs/2007.02054 (2020) - [i147]Jianan Li, Jiashi Feng:
Local Grid Rendering Networks for 3D Object Detection in Point Clouds. CoRR abs/2007.02099 (2020) - [i146]Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. CoRR abs/2007.02269 (2020) - [i145]Jian Liang, Dapeng Hu, Jiashi Feng:
Combating Domain Shift with Self-Taught Labeling. CoRR abs/2007.04171 (2020) - [i144]Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng:
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition. CoRR abs/2007.05934 (2020) - [i143]Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. CoRR abs/2007.11978 (2020) - [i142]Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng:
Few-shot Classification via Adaptive Attention. CoRR abs/2008.02465 (2020) - [i141]Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
ConvBERT: Improving BERT with Span-based Dynamic Convolution. CoRR abs/2008.02496 (2020) - [i140]Pengfei Ge, Chuan-Xian Ren, Jiashi Feng, Shuicheng Yan:
Dual Adversarial Auto-Encoders for Clustering. CoRR abs/2008.10038 (2020) - [i139]Meng-Jiun Chiou, Roger Zimmermann, Jiashi Feng:
RVL-BERT: Visual Relationship Detection with Visual-Linguistic Knowledge from Pre-trained Representations. CoRR abs/2009.04965 (2020) - [i138]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E:
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR abs/2010.05627 (2020) - [i137]Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yunpeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan:
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes. CoRR abs/2010.08365 (2020) - [i136]Li Yuan, Shuning Chang, Ziyuan Huang, Yichen Zhou, Yunpeng Chen, Xuecheng Nie, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes. CoRR abs/2010.10007 (2020) - [i135]Li Yuan, Shuning Chang, Xuecheng Nie, Ziyuan Huang, Yichen Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes. CoRR abs/2010.10008 (2020) - [i134]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. CoRR abs/2010.10814 (2020) - [i133]Li Yuan, Will Xiao, Gabriel Kreiman, Francis E. H. Tay, Jiashi Feng, Margaret S. Livingstone:
Adversarial images for the primate brain. CoRR abs/2011.05623 (2020) - [i132]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR abs/2012.07297 (2020)
2010 – 2019
- 2019
- [j50]Wei Wang, Siyuan Hao, Yunchao Wei, Shengtao Xiao, Jiashi Feng, Nicu Sebe:
Temporal Spiking Recurrent Neural Network for Action Recognition. IEEE Access 7: 117165-117175 (2019) - [j49]Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng:
Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. J. Optim. Theory Appl. 181(2): 541-566 (2019) - [j48]Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan:
Subspace Clustering by Block Diagonal Representation. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 487-501 (2019) - [j47]Wei Wang, Yan Yan, Zhen Cui, Jiashi Feng, Shuicheng Yan, Nicu Sebe:
Recurrent Face Aging with Hierarchical AutoRegressive Memory. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 654-668 (2019) - [j46]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Anticipating Where People will Look Using Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1783-1796 (2019) - [j45]Jian Zhao, Lin Xiong, Jianshu Li, Junliang Xing, Shuicheng Yan, Jiashi Feng:
3D-Aided Dual-Agent GANs for Unconstrained Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2380-2394 (2019) - [j44]Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang, Yunchao Wei, Jiashi Feng:
IAN: The Individual Aggregation Network for Person Search. Pattern Recognit. 87: 332-340 (2019) - [j43]Jianshu Li, Luoqi Liu, Jianan Li, Jiashi Feng, Shuicheng Yan, Terence Sim:
Toward a Comprehensive Face Detector in the Wild. IEEE Trans. Circuits Syst. Video Technol. 29(1): 104-114 (2019) - [j42]Zilei Wang, Xu Liu, Jiashi Feng, Jian Yang, Hongsheng Xi:
Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression. IEEE Trans. Circuits Syst. Video Technol. 29(1): 263-274 (2019) - [j41]Xuecheng Nie, Jiashi Feng, Junliang Xing, Shengtao Xiao, Shuicheng Yan:
Hierarchical Contextual Refinement Networks for Human Pose Estimation. IEEE Trans. Image Process. 28(2): 924-936 (2019) - [j40]Zun Li, Congyan Lang, Jiashi Feng, Yidong Li, Tao Wang, Songhe Feng:
Co-saliency Detection with Graph Matching. ACM Trans. Intell. Syst. Technol. 10(3): 22:1-22:22 (2019) - [j39]Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan:
Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1061-1075 (2019) - [c144]Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng:
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. AAAI 2019: 9143-9150 - [c143]Xiaopeng Zhang, Yang Yang, Jiashi Feng:
Learning to Localize Objects with Noisy Labeled Instances. AAAI 2019: 9219-9226 - [c142]Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. AAAI 2019: 9251-9258 - [c141]Pan Zhou, Xiao-Tong Yuan, Jiashi Feng:
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. AISTATS 2019: 138-147 - [c140]Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis:
Graph-Based Global Reasoning Networks. CVPR 2019: 433-442 - [c139]Wenhan Yang, Jiaying Liu, Jiashi Feng:
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow. CVPR 2019: 1661-1670 - [c138]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CVPR 2019: 3917-3926 - [c137]Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng:
Distilling Object Detectors With Fine-Grained Feature Imitation. CVPR 2019: 4933-4942 - [c136]Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng:
Few-Shot Adaptive Faster R-CNN. CVPR 2019: 7173-7182 - [c135]Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng:
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search. CVPR 2019: 9145-9153 - [c134]Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Sim Heng Ong, Jiashi Feng:
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input. ICCV 2019: 662-670 - [c133]Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng:
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. ICCV 2019: 3434-3443 - [c132]Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng:
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos. ICCV 2019: 6941-6949 - [c131]Xuecheng Nie, Jiashi Feng, Jianfeng Zhang, Shuicheng Yan:
Single-Stage Multi-Person Pose Machines. ICCV 2019: 6950-6959 - [c130]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-Shot Object Detection via Feature Reweighting. ICCV 2019: 8419-8428 - [c129]Lingxiao He, Yinggang Wang, Wu Liu, He Zhao, Zhenan Sun, Jiashi Feng:
Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification. ICCV 2019: 8449-8458 - [c128]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV 2019: 9196-9205 - [c127]Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng:
Dynamic Feature Fusion for Semantic Edge Detection. IJCAI 2019: 782-788 - [c126]Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng:
Generalized Majorization-Minimization for Non-Convex Optimization. IJCAI 2019: 4257-4263 - [c125]Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Multi-Prototype Networks for Unconstrained Set-based Face Recognition. IJCAI 2019: 4397-4403 - [c124]Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng:
Efficient Meta Learning via Minibatch Proximal Update. NeurIPS 2019: 1532-1542 - [c123]Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim:
Task Relation Networks. WACV 2019: 932-940 - [i131]Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng:
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks. CoRR abs/1901.01649 (2019) - [i130]Xiaoguang Tu, Jian Zhao, Mei Xie, Guodong Du, Hengsheng Zhang, Jianshu Li, Zheng Ma, Jiashi Feng:
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing. CoRR abs/1901.05602 (2019) - [i129]Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew, Jiashi Feng:
Deep Reasoning with Multi-scale Context for Salient Object Detection. CoRR abs/1901.08362 (2019) - [i128]Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman:
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. CoRR abs/1902.00163 (2019) - [i127]Jian Zhao, Jianshu Li, Xiaoguang Tu, Fang Zhao, Yuan Xin, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Multi-Prototype Networks for Unconstrained Set-based Face Recognition. CoRR abs/1902.04755 (2019) - [i126]Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng:
Dynamic Feature Fusion for Semantic Edge Detection. CoRR abs/1902.09104 (2019) - [i125]Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng:
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search. CoRR abs/1903.03777 (2019) - [i124]Xiaoguang Tu, Jian Zhao, Zihang Jiang, Yao Luo, Mei Xie, Yang Zhao, Linxiao He, Zheng Ma, Jiashi Feng:
Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning. CoRR abs/1903.09359 (2019) - [i123]Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng:
Few-shot Adaptive Faster R-CNN. CoRR abs/1903.09372 (2019) - [i122]Lingxiao He, Yinggang Wang, Wu Liu, Xingyu Liao, He Zhao, Zhenan Sun, Jiashi Feng:
Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification. CoRR abs/1904.04975 (2019) - [i121]Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng:
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution. CoRR abs/1904.05049 (2019) - [i120]Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng:
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization. CoRR abs/1904.08265 (2019) - [i119]Yingtian Zou, Jiashi Feng:
Hierarchical Meta Learning. CoRR abs/1904.09081 (2019) - [i118]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. CoRR abs/1904.09569 (2019) - [i117]Mengmi Zhang, Tao Wang, Joo Hwee Lim, Jiashi Feng:
Prototype Reminding for Continual Learning. CoRR abs/1905.09447 (2019) - [i116]Hanyang Kong, Jian Zhao, Xiaoguang Tu, Junliang Xing, Shengmei Shen, Jiashi Feng:
Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation. CoRR abs/1905.10777 (2019) - [i115]Yuan Hu, Yingtian Zou, Jiashi Feng:
Panoptic Edge Detection. CoRR abs/1906.00590 (2019) - [i114]Jayashree Karlekar, Jiashi Feng, Zi Sian Wong, Sugiri Pranata:
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation. CoRR abs/1906.00619 (2019) - [i113]Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng:
Query-efficient Meta Attack to Deep Neural Networks. CoRR abs/1906.02398 (2019) - [i112]Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng:
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR abs/1906.02494 (2019) - [i111]Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng:
Distilling Object Detectors with Fine-grained Feature Imitation. CoRR abs/1906.03609 (2019) - [i110]Hanshu Yan, Vincent Y. F. Tan, Wenhan Yang, Jiashi Feng:
Unsupervised Image Noise Modeling with Self-Consistent GAN. CoRR abs/1906.05762 (2019) - [i109]Hongsong Wang, Jiashi Feng:
VRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction. CoRR abs/1906.06514 (2019) - [i108]Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Deep Model Compression via Filter Auto-sampling. CoRR abs/1907.05642 (2019) - [i107]Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis E. H. Tay, Jiashi Feng:
Central Similarity Hashing via Hadamard matrix. CoRR abs/1908.00347 (2019) - [i106]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR abs/1908.06391 (2019) - [i105]Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng:
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos. CoRR abs/1908.09216 (2019) - [i104]Xuecheng Nie, Jianfeng Zhang, Shuicheng Yan, Jiashi Feng:
Single-Stage Multi-Person Pose Machines. CoRR abs/1908.09220 (2019) - [i103]Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer. CoRR abs/1909.06956 (2019) - [i102]Shenglan Liu, Yang Yu, Yang Liu, Hong Qiao, Lin Feng, Jiashi Feng:
Hierarchic Neighbors Embedding. CoRR abs/1909.07142 (2019) - [i101]Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng:
Revisit Knowledge Distillation: a Teacher-free Framework. CoRR abs/1909.11723 (2019) - [i100]Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yanchun Xie, Jiashi Feng:
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning. CoRR abs/1909.12482 (2019) - [i99]Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng:
On Robustness of Neural Ordinary Differential Equations. CoRR abs/1910.05513 (2019) - [i98]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR abs/1910.09217 (2019) - [i97]Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
Classification Calibration for Long-tail Instance Segmentation. CoRR abs/1910.13081 (2019) - [i96]Shoufa Chen, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
Efficient Differentiable Neural Architecture Search with Meta Kernels. CoRR abs/1912.04749 (2019) - [i95]Hao Du, Jiashi Feng, Mengling Feng:
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis. CoRR abs/1912.07517 (2019) - [i94]Xiaojie Jin, Jiang Wang, Joshua Slocum, Ming-Hsuan Yang, Shengyang Dai, Shuicheng Yan, Jiashi Feng:
RC-DARTS: Resource Constrained Differentiable Architecture Search. CoRR abs/1912.12814 (2019) - [i93]Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Jiashi Feng:
PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection. CoRR abs/1912.12898 (2019) - 2018
- [j38]Wenhan Yang, Jiashi Feng, Guo-Sen Xie, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Video super-resolution based on spatial-temporal recurrent residual networks. Comput. Vis. Image Underst. 168: 79-92 (2018) - [j37]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
Subspace Learning by ℓ0-Induced Sparsity. Int. J. Comput. Vis. 126(10): 1138-1156 (2018) - [j36]Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang:
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization. Neurocomputing 273: 516-525 (2018) - [j35]Changzhi Luo, Zhijun Meng, Jiashi Feng, Bingbing Ni, Meng Wang:
Annotation modification for fine-grained visual recognition. Neurocomputing 274: 58-65 (2018) - [j34]Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin:
A Unified Alternating Direction Method of Multipliers by Majorization Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 527-541 (2018) - [j33]Xin Li, Zequn Jie, Jiashi Feng, Changsong Liu, Shuicheng Yan:
Learning with rethinking: Recurrently improving convolutional neural networks through feedback. Pattern Recognit. 79: 183-194 (2018) - [j32]Hanjiang Lai, Shengtao Xiao, Yan Pan, Zhen Cui, Jiashi Feng, Chunyan Xu, Jian Yin, Shuicheng Yan:
Deep Recurrent Regression for Facial Landmark Detection. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1144-1157 (2018) - [j31]Hao Liu, Zequn Jie, Jayashree Karlekar, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng:
Video-Based Person Re-Identification With Accumulative Motion Context. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2788-2802 (2018) - [j30]Changzhi Luo, Zhetao Li, Kaizhu Huang, Jiashi Feng, Meng Wang:
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification. IEEE Trans. Image Process. 27(2): 637-648 (2018) - [j29]Fang Zhao, Jiashi Feng, Jian Zhao, Wenhan Yang, Shuicheng Yan:
Robust LSTM-Autoencoders for Face De-Occlusion in the Wild. IEEE Trans. Image Process. 27(2): 778-790 (2018) - [j28]Jianshu Li, Fang Zhao, Jiashi Feng, Sujoy Roy, Shuicheng Yan, Terence Sim:
Landmark Free Face Attribute Prediction. IEEE Trans. Image Process. 27(9): 4651-4662 (2018) - [j27]Xi Peng, Jiashi Feng, Shijie Xiao, Wei-Yun Yau, Joey Tianyi Zhou, Songfan Yang:
Structured AutoEncoders for Subspace Clustering. IEEE Trans. Image Process. 27(10): 5076-5086 (2018) - [j26]Jianan Li, Xiaodan Liang, Shengmei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Scale-Aware Fast R-CNN for Pedestrian Detection. IEEE Trans. Multim. 20(4): 985-996 (2018) - [j25]Jianan Li, Xiaodan Liang, Jianshu Li, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Multistage Object Detection With Group Recursive Learning. IEEE Trans. Multim. 20(7): 1645-1655 (2018) - [j24]Huaxin Xiao, Jiashi Feng, Yunchao Wei, Maojun Zhang, Shuicheng Yan:
Deep Salient Object Detection With Dense Connections and Distraction Diagnosis. IEEE Trans. Multim. 20(12): 3239-3251 (2018) - [c122]Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. AAAI 2018: 3714-3721 - [c121]Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han:
Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation. AAAI 2018: 7146-7153 - [c120]Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng:
Transferable Semi-Supervised Semantic Segmentation. AAAI 2018: 7420-7427 - [c119]Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng:
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks. ACCV (6) 2018: 277-292 - [c118]Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang:
MoNet: Deep Motion Exploitation for Video Object Segmentation. CVPR 2018: 1140-1148 - [c117]Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang:
Adversarial Complementary Learning for Weakly Supervised Object Localization. CVPR 2018: 1325-1334 - [c116]Pan Zhou, Yunqing Hou, Jiashi Feng:
Deep Adversarial Subspace Clustering. CVPR 2018: 1596-1604 - [c115]Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan:
Human Pose Estimation With Parsing Induced Learner. CVPR 2018: 2100-2108 - [c114]Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng:
Towards Pose Invariant Face Recognition in the Wild. CVPR 2018: 2207-2216 - [c113]Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu:
Left-Right Comparative Recurrent Model for Stereo Matching. CVPR 2018: 3838-3846 - [c112]Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian:
Zigzag Learning for Weakly Supervised Object Detection. CVPR 2018: 4262-4270 - [c111]Fang Zhao, Jianshu Li, Jian Zhao, Jiashi Feng:
Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network. CVPR 2018: 5696-5705 - [c110]Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh:
Learning Markov Clustering Networks for Scene Text Detection. CVPR 2018: 6936-6944 - [c109]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. CVPR 2018: 7268-7277 - [c108]Fang Zhao, Jian Zhao, Shuicheng Yan, Jiashi Feng:
Dynamic Conditional Networks for Few-Shot Learning. ECCV (15) 2018: 20-36 - [c107]Xiaopeng Zhang, Yang Yang, Jiashi Feng:
ML-LocNet: Improving Object Localization with Multi-view Learning Network. ECCV (3) 2018: 248-263 - [c106]Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng:
Multi-fiber Networks for Video Recognition. ECCV (1) 2018: 364-380 - [c105]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. ECCV (11) 2018: 454-470 - [c104]Xuecheng Nie, Jiashi Feng, Shuicheng Yan:
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation. ECCV (5) 2018: 519-534 - [c103]Xi Zhang, Hanjiang Lai, Jiashi Feng:
Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval. ECCV (15) 2018: 614-629 - [c102]Xuecheng Nie, Jiashi Feng, Junliang Xing, Shuicheng Yan:
Pose Partition Networks for Multi-person Pose Estimation. ECCV (5) 2018: 705-720 - [c101]Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng:
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM 2018: 893-898 - [c100]Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor:
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) 2018 - [c99]Pan Zhou, Jiashi Feng:
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks. ICLR (Poster) 2018 - [c98]Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks Through Weight Sampling. ICML 2018: 2357-2366 - [c97]Bingyi Kang, Zequn Jie, Jiashi Feng:
Policy Optimization with Demonstrations. ICML 2018: 2474-2483 - [c96]Pan Zhou, Jiashi Feng:
Understanding Generalization and Optimization Performance of Deep CNNs. ICML 2018: 5955-5964 - [c95]Tam V. Nguyen, Jiashi Feng, Khang Nguyen:
Denser Trajectories of Anchor Points for Action Recognition. IMCOM 2018: 1:1-1:8 - [c94]Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. IJCAI 2018: 635-641 - [c93]Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng:
3D-Aided Deep Pose-Invariant Face Recognition. IJCAI 2018: 1184-1190 - [c92]Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. IJCAI 2018: 2504-2510 - [c91]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. IROS 2018: 137-144 - [c90]Jianshu Li, Jian Zhao, Yunpeng Chen, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim:
Multi-Human Parsing Machines. ACM Multimedia 2018: 45-53 - [c89]Bo Zhao, Xiao Wu, Zhi-Qi Cheng, Hao Liu, Zequn Jie, Jiashi Feng:
Multi-View Image Generation from a Single-View. ACM Multimedia 2018: 383-391 - [c88]Jian Zhao, Jianshu Li, Yu Cheng, Terence Sim, Shuicheng Yan, Jiashi Feng:
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing. ACM Multimedia 2018: 792-800 - [c87]Jitao Sang, Jun Yu, Ramesh C. Jain, Rainer Lienhart, Peng Cui, Jiashi Feng:
Deep Learning for Multimedia: Science or Technology? ACM Multimedia 2018: 1354-1355 - [c86]Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng:
A^2-Nets: Double Attention Networks. NeurIPS 2018: 350-359 - [c85]Pan Zhou, Xiaotong Yuan, Jiashi Feng:
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. NeurIPS 2018: 1242-1251 - [c84]Pan Zhou, Xiaotong Yuan, Jiashi Feng:
Efficient Stochastic Gradient Hard Thresholding. NeurIPS 2018: 1988-1997 - [c83]Tong He, Ru Kong, Avram J. Holmes, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo:
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? PRNI 2018: 1-4 - [c82]Minh Nguyen, Nanbo Sun, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo:
Modeling Alzheimer's disease progression using deep recurrent neural networks. PRNI 2018: 1-4 - [c81]Bingyi Kang, Jiashi Feng:
Transferable Meta Learning Across Domains. UAI 2018: 177-187 - [i92]Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han:
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation. CoRR abs/1801.01260 (2018) - [i91]Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu:
Left-Right Comparative Recurrent Model for Stereo Matching. CoRR abs/1804.00796 (2018) - [i90]Jian Zhao, Jianshu Li, Yu Cheng, Li Zhou, Terence Sim, Shuicheng Yan, Jiashi Feng:
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing. CoRR abs/1804.03287 (2018) - [i89]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm. CoRR abs/1804.03728 (2018) - [i88]Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang:
Adversarial Complementary Learning for Weakly Supervised Object Localization. CoRR abs/1804.06962 (2018) - [i87]Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian:
Zigzag Learning for Weakly Supervised Object Detection. CoRR abs/1804.09466 (2018) - [i86]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation. CoRR abs/1805.04574 (2018) - [i85]Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng:
Learning Pixel-wise Labeling from the Internet without Human Interaction. CoRR abs/1805.07548 (2018) - [i84]Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh:
Learning Markov Clustering Networks for Scene Text Detection. CoRR abs/1805.08365 (2018) - [i83]Canyi Lu, Jiashi Feng, Zhouchen Lin, Tao Mei, Shuicheng Yan:
Subspace Clustering by Block Diagonal Representation. CoRR abs/1805.09243 (2018) - [i82]Pan Zhou, Jiashi Feng:
Understanding Generalization and Optimization Performance of Deep CNNs. CoRR abs/1805.10767 (2018) - [i81]Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. CoRR abs/1806.02511 (2018) - [i80]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. CoRR abs/1807.04897 (2018) - [i79]Li Zhou, Jian Zhao, Jianshu Li, Li Yuan, Jiashi Feng:
Object Relation Detection Based on One-shot Learning. CoRR abs/1807.05857 (2018) - [i78]Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
Finding any Waldo: zero-shot invariant and efficient visual search. CoRR abs/1807.10587 (2018) - [i77]Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng:
Multi-Fiber Networks for Video Recognition. CoRR abs/1807.11195 (2018) - [i76]Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
What am I searching for? CoRR abs/1807.11926 (2018) - [i75]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. CoRR abs/1807.11929 (2018) - [i74]Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, Shengmei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. CoRR abs/1809.00338 (2018) - [i73]Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng:
A2-Nets: Double Attention Networks. CoRR abs/1810.11579 (2018) - [i72]Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis:
Graph-Based Global Reasoning Networks. CoRR abs/1811.12814 (2018) - [i71]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-shot Object Detection via Feature Reweighting. CoRR abs/1812.01866 (2018) - [i70]Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell:
Similarity R-C3D for Few-shot Temporal Activity Detection. CoRR abs/1812.10000 (2018) - 2017
- [j23]Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan:
A survey on deep learning-based fine-grained object classification and semantic segmentation. Int. J. Autom. Comput. 14(2): 119-135 (2017) - [j22]Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Jiashi Feng, Yao Zhao, Shuicheng Yan:
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2314-2320 (2017) - [j21]Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang, Shuicheng Yan:
End-to-End Comparative Attention Networks for Person Re-Identification. IEEE Trans. Image Process. 26(7): 3492-3506 (2017) - [j20]Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution. IEEE Trans. Image Process. 26(12): 5895-5907 (2017) - [j19]Songhe Feng, Congyan Lang, Jiashi Feng, Tao Wang, Jiebo Luo:
Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization. IEEE Trans. Multim. 19(1): 136-148 (2017) - [j18]Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Attentive Contexts for Object Detection. IEEE Trans. Multim. 19(5): 944-954 (2017) - [j17]Bo Zhao, Xiao Wu, Jiashi Feng, Qiang Peng, Shuicheng Yan:
Diversified Visual Attention Networks for Fine-Grained Object Classification. IEEE Trans. Multim. 19(6): 1245-1256 (2017) - [c80]Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker:
Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. AAAI 2017: 822-829 - [c79]Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi:
Cascade Subspace Clustering. AAAI 2017: 2478-2484 - [c78]Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Multi-Path Feedback Recurrent Neural Networks for Scene Parsing. AAAI 2017: 4096-4102 - [c77]Jian Zhao, Jianshu Li, Fang Zhao, Xuecheng Nie, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
Marginalized CNN: Learning Deep Invariant Representations. BMVC 2017 - [c76]Jian Zhao, Jianshu Li, Xuecheng Nie, Fang Zhao, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan:
Self-Supervised Neural Aggregation Networks for Human Parsing. CVPR Workshops 2017: 1595-1603 - [c75]Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Deep Joint Rain Detection and Removal from a Single Image. CVPR 2017: 1685-1694 - [c74]Jianshu Li, Yunpeng Chen, Shengtao Xiao, Jian Zhao, Sujoy Roy, Jiashi Feng, Shuicheng Yan, Terence Sim:
Estimation of Affective Level in the Wild with Multiple Memory Networks. CVPR Workshops 2017: 1947-1954 - [c73]Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Perceptual Generative Adversarial Networks for Small Object Detection. CVPR 2017: 1951-1959 - [c72]Shengtao Xiao, Jianshu Li, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan, Ashraf A. Kassim:
3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection. CVPR Workshops 2017: 2060-2068 - [c71]Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. CVPR 2017: 2175-2184 - [c70]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. CVPR 2017: 3539-3548 - [c69]Pan Zhou, Jiashi Feng:
Outlier-Robust Tensor PCA. CVPR 2017: 3938-3946 - [c68]Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu:
Deep Self-Taught Learning for Weakly Supervised Object Localization. CVPR 2017: 4294-4302 - [c67]Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan:
Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search. CVPR 2017: 6156-6164 - [c66]Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. CVPR 2017: 6488-6496 - [c65]Samaneh Azadi, Jiashi Feng, Trevor Darrell:
Learning Detection with Diverse Proposals. CVPR 2017: 7369-7377 - [c64]Jianshu Li, Jiashi Feng, Luoqi Liu, Terence Sim:
BoxFlow: Unsupervised Face Detector Adaptation from Images to Videos. FG 2017: 317-324 - [c63]Hao Liu, Jiashi Feng, Zequn Jie, Jayashree Karlekar, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan:
Neural Person Search Machines. ICCV 2017: 493-501 - [c62]Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng:
FoveaNet: Perspective-Aware Urban Scene Parsing. ICCV 2017: 784-792 - [c61]Shengtao Xiao, Jiashi Feng, Luoqi Liu, Xuecheng Nie, Wei Wang, Shuicheng Yan, Ashraf A. Kassim:
Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection. ICCV 2017: 1642-1651 - [c60]Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim Heng Ong, Jiashi Feng:
Regional Interactive Image Segmentation Networks. ICCV 2017: 2746-2754 - [c59]Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Video Scene Parsing with Predictive Feature Learning. ICCV 2017: 5581-5589 - [c58]Yan Xu, Yu Cheng, Jian Zhao, Zhecan Wang, Lin Xiong, Jayashree Karlekar, Hajime Tamura, Tomoyuki Kagaya, Sugiri Pranata, Shengmei Shen, Jiashi Feng, Junliang Xing:
High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval. ICCV Workshops 2017: 1898-1906 - [c57]Yu Cheng, Jian Zhao, Zhecan Wang, Yan Xu, Jayashree Karlekar, Shengmei Shen, Jiashi Feng:
Know You at One Glance: A Compact Vector Representation for Low-Shot Learning. ICCV Workshops 2017: 1924-1932 - [c56]Yunpeng Chen, Xiaojie Jin, Jiashi Feng, Shuicheng Yan:
Training Group Orthogonal Neural Networks with Privileged Information. IJCAI 2017: 1532-1538 - [c55]Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan:
Online Robust Low-Rank Tensor Learning. IJCAI 2017: 2180-2186 - [c54]Pingbo Pan, Jiashi Feng, Ling Chen, Yi Yang:
Online compressed robust PCA. IJCNN 2017: 1041-1048 - [c53]Jianan Li, Yunchao Wei, Xiaodan Liang, Fang Zhao, Jianshu Li, Tingfa Xu, Jiashi Feng:
Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval. ACM Multimedia 2017: 181-189 - [c52]Mengdan Zhang, Jiashi Feng, Weiming Hu:
Robust Visual Object Tracking with Top-down Reasoning. ACM Multimedia 2017: 226-234 - [c51]Ilija Ilievski, Jiashi Feng:
Generative Attention Model with Adversarial Self-learning for Visual Question Answering. ACM Multimedia (Thematic Workshops) 2017: 415-423 - [c50]Jianshu Li, Shengtao Xiao, Fang Zhao, Jian Zhao, Jianan Li, Jiashi Feng, Shuicheng Yan, Terence Sim:
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training. ACM Multimedia 2017: 1531-1539 - [c49]Jian Zhao, Lin Xiong, Jayashree Karlekar, Jianshu Li, Fang Zhao, Zhecan Wang, Sugiri Pranata, Shengmei Shen, Shuicheng Yan, Jiashi Feng:
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis. NIPS 2017: 66-76 - [c48]Ilija Ilievski, Jiashi Feng:
Multimodal Learning and Reasoning for Visual Question Answering. NIPS 2017: 551-562 - [c47]Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng:
Dual Path Networks. NIPS 2017: 4467-4475 - [c46]Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Predicting Scene Parsing and Motion Dynamics in the Future. NIPS 2017: 6915-6924 - [c45]Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang:
Neighborhood Regularized l^1-Graph. UAI 2017 - [p1]Baochen Sun, Jiashi Feng, Kate Saenko:
Correlation Alignment for Unsupervised Domain Adaptation. Domain Adaptation in Computer Vision Applications 2017: 153-171 - [e1]Bogdan Ionescu, Nicu Sebe, Jiashi Feng, Martha A. Larson, Rainer Lienhart, Cees Snoek:
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania, June 6-9, 2017. ACM 2017, ISBN 978-1-4503-4701-3 [contents] - [i69]Hao Liu, Zequn Jie, Jayashree Karlekar, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng:
Video-based Person Re-identification with Accumulative Motion Context. CoRR abs/1701.00193 (2017) - [i68]Jiashi Feng, Huan Xu, Shie Mannor:
Outlier Robust Online Learning. CoRR abs/1701.00251 (2017) - [i67]Yunpeng Chen, Xiaojie Jin, Jiashi Feng, Shuicheng Yan:
Training Group Orthogonal Neural Networks with Privileged Information. CoRR abs/1701.06772 (2017) - [i66]Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks. CoRR abs/1703.02180 (2017) - [i65]Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan:
Tree-Structured Reinforcement Learning for Sequential Object Localization. CoRR abs/1703.02710 (2017) - [i64]Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. CoRR abs/1703.03055 (2017) - [i63]Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. CoRR abs/1703.08448 (2017) - [i62]Jiashi Feng:
On Fundamental Limits of Robust Learning. CoRR abs/1703.10444 (2017) - [i61]Lin Xiong, Jayashree Karlekar, Jian Zhao, Jiashi Feng, Sugiri Pranata, Shengmei Shen:
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion. CoRR abs/1704.00438 (2017) - [i60]Samaneh Azadi, Jiashi Feng, Trevor Darrell:
Learning Detection with Diverse Proposals. CoRR abs/1704.03533 (2017) - [i59]Bo Zhao, Xiao Wu, Zhi-Qi Cheng, Hao Liu, Jiashi Feng:
Multi-View Image Generation from a Single-View. CoRR abs/1704.04886 (2017) - [i58]Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu:
Deep Self-Taught Learning for Weakly Supervised Object Localization. CoRR abs/1704.05188 (2017) - [i57]Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang, Yunchao Wei, Jiashi Feng:
IAN: The Individual Aggregation Network for Person Search. CoRR abs/1705.05552 (2017) - [i56]Renbo Zhao, William B. Haskell, Jiashi Feng:
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction. CoRR abs/1705.06884 (2017) - [i55]Pan Zhou, Jiashi Feng:
The Landscape of Deep Learning Algorithms. CoRR abs/1705.07038 (2017) - [i54]Jianshu Li, Jian Zhao, Yunchao Wei, Congyan Lang, Yidong Li, Jiashi Feng:
Towards Real World Human Parsing: Multiple-Human Parsing in the Wild. CoRR abs/1705.07206 (2017) - [i53]Xuecheng Nie, Jiashi Feng, Junliang Xing, Shuicheng Yan:
Generative Partition Networks for Multi-Person Pose Estimation. CoRR abs/1705.07422 (2017) - [i52]Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Perceptual Generative Adversarial Networks for Small Object Detection. CoRR abs/1706.05274 (2017) - [i51]Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng:
Dual Path Networks. CoRR abs/1707.01629 (2017) - [i50]Hao Liu, Jiashi Feng, Zequn Jie, Jayashree Karlekar, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan:
Neural Person Search Machines. CoRR abs/1707.06777 (2017) - [i49]Ilija Ilievski, Jiashi Feng:
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models. CoRR abs/1708.00584 (2017) - [i48]Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng:
FoveaNet: Perspective-aware Urban Scene Parsing. CoRR abs/1708.02421 (2017) - [i47]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CoRR abs/1708.04181 (2017) - [i46]Xin Li, Zequn Jie, Jiashi Feng, Changsong Liu, Shuicheng Yan:
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback. CoRR abs/1708.04483 (2017) - [i45]Huaxin Xiao, Jiashi Feng, Yunchao Wei, Maojun Zhang:
Self-explanatory Deep Salient Object Detection. CoRR abs/1708.05595 (2017) - [i44]Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang:
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization. CoRR abs/1708.05978 (2017) - [i43]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation. CoRR abs/1709.01230 (2017) - [i42]Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang:
Discriminative Similarity for Clustering and Semi-Supervised Learning. CoRR abs/1709.01231 (2017) - [i41]Xi Peng, Jiashi Feng, Shijie Xiao, Jiwen Lu, Zhang Yi, Shuicheng Yan:
Deep Sparse Subspace Clustering. CoRR abs/1709.08374 (2017) - [i40]Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Predicting Scene Parsing and Motion Dynamics in the Future. CoRR abs/1711.03270 (2017) - [i39]Jianshu Li, Shengtao Xiao, Fang Zhao, Jian Zhao, Jianan Li, Jiashi Feng, Shuicheng Yan, Terence Sim:
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training. CoRR abs/1711.06055 (2017) - [i38]Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng:
Transferable Semi-supervised Semantic Segmentation. CoRR abs/1711.06828 (2017) - [i37]Xi Zhang, Siyu Zhou, Jiashi Feng, Hanjiang Lai, Bo Li, Yan Pan, Jian Yin, Shuicheng Yan:
HashGAN: Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval. CoRR abs/1711.09347 (2017) - [i36]Siyu Zhou, Weiqiang Zhao, Jiashi Feng, Hanjiang Lai, Yan Pan, Jian Yin, Shuicheng Yan:
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks. CoRR abs/1711.09368 (2017) - [i35]Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks with Weight Sampling. CoRR abs/1711.10067 (2017) - [i34]Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. CoRR abs/1712.02979 (2017) - [i33]Yunpeng Chen, Jianshu Li, Bin Zhou, Jiashi Feng, Shuicheng Yan:
Weaving Multi-scale Context for Single Shot Detector. CoRR abs/1712.03149 (2017) - 2016
- [j16]Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan:
Scale-Aware Pixelwise Object Proposal Networks. IEEE Trans. Image Process. 25(10): 4525-4539 (2016) - [j15]Meng Wang, Changzhi Luo, Richang Hong, Jinhui Tang, Jiashi Feng:
Beyond Object Proposals: Random Crop Pooling for Multi-Label Image Recognition. IEEE Trans. Image Process. 25(12): 5678-5688 (2016) - [j14]Yunchao Wei, Yao Zhao, Zhenfeng Zhu, Shikui Wei, Yanhui Xiao, Jiashi Feng, Shuicheng Yan:
Modality-Dependent Cross-Media Retrieval. ACM Trans. Intell. Syst. Technol. 7(4): 57:1-57:13 (2016) - [j13]Congyan Lang, Jiashi Feng, Songhe Feng, Jingdong Wang, Shuicheng Yan:
Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1190-1200 (2016) - [c44]Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan:
Deep Learning with S-Shaped Rectified Linear Activation Units. AAAI 2016: 1737-1743 - [c43]Baochen Sun, Jiashi Feng, Kate Saenko:
Return of Frustratingly Easy Domain Adaptation. AAAI 2016: 2058-2065 - [c42]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan:
Reversible Recursive Instance-Level Object Segmentation. CVPR 2016: 633-641 - [c41]Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan:
Recurrently Target-Attending Tracking. CVPR 2016: 1449-1458 - [c40]Wei Wang, Zhen Cui, Yan Yan, Jiashi Feng, Shuicheng Yan, Xiangbo Shu, Nicu Sebe:
Recurrent Face Aging. CVPR 2016: 2378-2386 - [c39]Xu Liu, Zilei Wang, Jiashi Feng, Hongsheng Xi:
Highway Vehicle Counting in Compressed Domain. CVPR 2016: 3016-3024 - [c38]Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Local-Global Long Short-Term Memory. CVPR 2016: 3185-3193 - [c37]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CVPR 2016: 4555-4564 - [c36]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CVPR 2016: 5249-5257 - [c35]Shengtao Xiao, Jiashi Feng, Junliang Xing, Hanjiang Lai, Shuicheng Yan, Ashraf A. Kassim:
Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks. ECCV (1) 2016: 57-72 - [c34]Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Graph LSTM. ECCV (1) 2016: 125-143 - [c33]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
ℓ ^0 ℓ 0 -Sparse Subspace Clustering. ECCV (2) 2016: 731-747 - [c32]Xiaojie Jin, Yunpeng Chen, Jian Dong, Jiashi Feng, Shuicheng Yan:
Collaborative Layer-Wise Discriminative Learning in Deep Neural Networks. ECCV (7) 2016: 733-749 - [c31]Jianshu Li, Sujoy Roy, Jiashi Feng, Terence Sim:
Happiness level prediction with sequential inputs via multiple regressions. ICMI 2016: 487-493 - [c30]Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua:
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. IJCAI 2016: 1469-1475 - [c29]Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi:
Deep Subspace Clustering with Sparsity Prior. IJCAI 2016: 1925-1931 - [c28]Shengtao Xiao, Luoqi Liu, Xuecheng Nie, Jiashi Feng, Ashraf A. Kassim, Shuicheng Yan:
A Live Face Swapper. ACM Multimedia 2016: 691-692 - [c27]Jianshu Li, Jian Zhao, Fang Zhao, Hao Liu, Jing Li, Shengmei Shen, Jiashi Feng, Terence Sim:
Robust Face Recognition with Deep Multi-View Representation Learning. ACM Multimedia 2016: 1068-1072 - [c26]Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan:
Tree-Structured Reinforcement Learning for Sequential Object Localization. NIPS 2016: 127-135 - [c25]Samaneh Azadi, Jiashi Feng, Stefanie Jegelka, Trevor Darrell:
Auxiliary Image Regularization for Deep CNNs with Noisy Labels. ICLR (Poster) 2016 - [i32]Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua:
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. CoRR abs/1601.00917 (2016) - [i31]Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan:
Scale-aware Pixel-wise Object Proposal Networks. CoRR abs/1601.04798 (2016) - [i30]Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor:
Ensemble Robustness of Deep Learning Algorithms. CoRR abs/1602.02389 (2016) - [i29]Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Graph LSTM. CoRR abs/1603.07063 (2016) - [i28]Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Attentive Contexts for Object Detection. CoRR abs/1603.07415 (2016) - [i27]Ilija Ilievski, Shuicheng Yan, Jiashi Feng:
A Focused Dynamic Attention Model for Visual Question Answering. CoRR abs/1604.01485 (2016) - [i26]Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution. CoRR abs/1604.08671 (2016) - [i25]Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang, Shuicheng Yan:
End-to-End Comparative Attention Networks for Person Re-identification. CoRR abs/1606.04404 (2016) - [i24]Bo Zhao, Xiao Wu, Jiashi Feng, Qiang Peng, Shuicheng Yan:
Diversified Visual Attention Networks for Fine-Grained Object Classification. CoRR abs/1606.08572 (2016) - [i23]Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin:
A Unified Alternating Direction Method of Multipliers by Majorization Minimization. CoRR abs/1607.02584 (2016) - [i22]Xiaojie Jin, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan:
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods. CoRR abs/1607.05423 (2016) - [i21]Xiaojie Jin, Yunpeng Chen, Jian Dong, Jiashi Feng, Shuicheng Yan:
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks. CoRR abs/1607.05440 (2016) - [i20]Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine A. Shoemaker:
Hyperparameter Optimization of Deep Neural Networks Using Non-Probabilistic RBF Surrogate Model. CoRR abs/1607.08316 (2016) - [i19]Ilija Ilievski, Jiashi Feng:
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training. CoRR abs/1608.00218 (2016) - [i18]Jianan Li, Xiaodan Liang, Jianshu Li, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Multi-stage Object Detection with Group Recursive Learning. CoRR abs/1608.05159 (2016) - [i17]Xiaojie Jin, Yunpeng Chen, Jiashi Feng, Zequn Jie, Shuicheng Yan:
Multi-Path Feedback Recurrent Neural Network for Scene Parsing. CoRR abs/1608.07706 (2016) - [i16]Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Joint Rain Detection and Removal via Iterative Region Dependent Multi-Task Learning. CoRR abs/1609.07769 (2016) - [i15]Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Video Scene Parsing with Predictive Feature Learning. CoRR abs/1612.00119 (2016) - [i14]Baochen Sun, Jiashi Feng, Kate Saenko:
Correlation Alignment for Unsupervised Domain Adaptation. CoRR abs/1612.01939 (2016) - [i13]Fang Zhao, Jiashi Feng, Jian Zhao, Wenhan Yang, Shuicheng Yan:
Robust LSTM-Autoencoders for Face De-Occlusion in the Wild. CoRR abs/1612.08534 (2016) - 2015
- [j12]Zilei Wang, Jiashi Feng, Shuicheng Yan:
Collaborative Linear Coding for Robust Image Classification. Int. J. Comput. Vis. 114(2-3): 322-333 (2015) - [j11]Jian Dong, Qiang Chen, Jiashi Feng, Kui Jia, ZhongYang Huang, Shuicheng Yan:
Looking Inside Category: Subcategory-Aware Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 25(8): 1322-1334 (2015) - [c24]Jiashi Feng, Trevor Darrell:
Learning the Structure of Deep Convolutional Networks. ICCV 2015: 2749-2757 - [c23]Kang Wang, Tam V. Nguyen, Jiashi Feng, Jose Sepulveda:
Sense Beyond Expressions: Cuteness. ACM Multimedia 2015: 1067-1070 - [i12]Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Correlation Adaptive Subspace Segmentation by Trace Lasso. CoRR abs/1501.04276 (2015) - [i11]Yunchao Wei, Yao Zhao, Zhenfeng Zhu, Shikui Wei, Yanhui Xiao, Jiashi Feng, Shuicheng Yan:
Modality-dependent Cross-media Retrieval. CoRR abs/1506.06628 (2015) - [i10]Kang Wang, Tam V. Nguyen, Jiashi Feng, Jose Sepulveda:
Sense Beyond Expressions: Cuteness. CoRR abs/1508.03953 (2015) - [i9]Yingzhen Yang, Jiashi Feng, Jianchao Yang, Thomas S. Huang:
Learning ℓ0-Graph for Data Clustering. CoRR abs/1510.08520 (2015) - [i8]Hanjiang Lai, Shengtao Xiao, Yan Pan, Zhen Cui, Jiashi Feng, Chunyan Xu, Jian Yin, Shuicheng Yan:
Deep Recurrent Regression for Facial Landmark Detection. CoRR abs/1510.09083 (2015) - [i7]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CoRR abs/1511.04164 (2015) - [i6]Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Local-Global Long Short-Term Memory. CoRR abs/1511.04510 (2015) - [i5]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan:
Reversible Recursive Instance-level Object Segmentation. CoRR abs/1511.04517 (2015) - [i4]Baochen Sun, Jiashi Feng, Kate Saenko:
Return of Frustratingly Easy Domain Adaptation. CoRR abs/1511.05547 (2015) - [i3]Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan:
Deep Learning with S-shaped Rectified Linear Activation Units. CoRR abs/1512.07030 (2015) - 2014
- [j10]Tam V. Nguyen, Jiashi Feng, Shuicheng Yan:
Seeing Human Weight from a Single RGB-D Image. J. Comput. Sci. Technol. 29(5): 777-784 (2014) - [j9]Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan:
Autogrouped Sparse Representation for Visual Analysis. IEEE Trans. Image Process. 23(12): 5390-5399 (2014) - [j8]Si Liu, Jiashi Feng, Csaba Domokos, Hui Xu, Junshi Huang, Zhenzhen Hu, Shuicheng Yan:
Fashion Parsing With Weak Color-Category Labels. IEEE Trans. Multim. 16(1): 253-265 (2014) - [c22]Jiashi Feng, Stefanie Jegelka, Shuicheng Yan, Trevor Darrell:
Learning Scalable Discriminative Dictionary with Sample Relatedness. CVPR 2014: 1645-1652 - [c21]Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan:
Robust Subspace Segmentation with Block-Diagonal Prior. CVPR 2014: 3818-3825 - [c20]Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan:
Robust Logistic Regression and Classification. NIPS 2014: 253-261 - [i2]Jiashi Feng, Huan Xu, Shie Mannor:
Distributed Robust Learning. CoRR abs/1409.5937 (2014) - 2013
- [j7]Zilei Wang, Jiashi Feng:
Multi-class learning from class proportions. Neurocomputing 119: 273-280 (2013) - [j6]Congyan Lang, Jiashi Feng, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Jiebo Luo:
Improving Bottom-up Saliency Detection by Looking into Neighbors. IEEE Trans. Circuits Syst. Video Technol. 23(6): 1016-1028 (2013) - [j5]Zilei Wang, Jiashi Feng, Shuicheng Yan, Hongsheng Xi:
Linear Distance Coding for Image Classification. IEEE Trans. Image Process. 22(2): 537-548 (2013) - [j4]Zilei Wang, Jiashi Feng, Shuicheng Yan, Hongsheng Xi:
Image Classification via Object-Aware Holistic Superpixel Selection. IEEE Trans. Image Process. 22(11): 4341-4352 (2013) - [c19]Saining Xie, Jiashi Feng, Shuicheng Yan, Hongtao Lu:
Perception Preserving Projections. BMVC 2013 - [c18]Jian Dong, Wei Xia, Qiang Chen, Jiashi Feng, ZhongYang Huang, Shuicheng Yan:
Subcategory-Aware Object Classification. CVPR 2013: 827-834 - [c17]Can-Yi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Correlation Adaptive Subspace Segmentation by Trace Lasso. ICCV 2013: 1345-1352 - [c16]Jiashi Feng, Huan Xu, Shuicheng Yan:
Online Robust PCA via Stochastic Optimization. NIPS 2013: 404-412 - [c15]Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan:
Online PCA for Contaminated Data. NIPS 2013: 764-772 - 2012
- [j3]Congyan Lang, Jiashi Feng, Yantao Zheng:
Towards a universal detector by mining concepts with small semantic gaps. Expert Syst. Appl. 39(12): 11312-11320 (2012) - [j2]Jiashi Feng, Bingbing Ni, Dong Xu, Shuicheng Yan:
Histogram Contextualization. IEEE Trans. Image Process. 21(2): 778-788 (2012) - [j1]Jiashi Feng, Yuzhao Ni, Jian Dong, Zilei Wang, Shuicheng Yan:
Purposive Hidden-Object-Game: Embedding Human Computation in Popular Game. IEEE Trans. Multim. 14(5): 1496-1507 (2012) - [c14]Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan:
Auto-Grouped Sparse Representation for Visual Analysis. ECCV (1) 2012: 640-653 - [c13]Wei Xia, Zheng Song, Jiashi Feng, Loong Fah Cheong, Shuicheng Yan:
Segmentation over Detection by Coupled Global and Local Sparse Representations. ECCV (5) 2012: 662-675 - [c12]Jiashi Feng, Huan Xu, Shuicheng Yan:
Robust PCA in High-dimension: A Deterministic Approach. ICML 2012 - [c11]Ruchir Srivastava, Jiashi Feng, Sujoy Roy, Shuicheng Yan, Terence Sim:
Don't ask me what i'm like, just watch and listen. ACM Multimedia 2012: 329-338 - [c10]Si Liu, Jiashi Feng, Zheng Song, Tianzhu Zhang, Hanqing Lu, Changsheng Xu, Shuicheng Yan:
Hi, magic closet, tell me what to wear! ACM Multimedia 2012: 619-628 - [c9]Si Liu, Tam V. Nguyen, Jiashi Feng, Meng Wang, Shuicheng Yan:
Hi, magic closet, tell me what to wear! ACM Multimedia 2012: 1333-1334 - [i1]Jiashi Feng, Huan Xu, Shuicheng Yan:
Robust PCA in High-dimension: A Deterministic Approach. CoRR abs/1206.4628 (2012) - 2011
- [c8]Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin:
Segment an image by looking into an image corpus. CVPR 2011: 2249-2256 - [c7]Jiashi Feng, Bingbing Ni, Qi Tian, Shuicheng Yan:
Geometric ℓp-norm feature pooling for image classification. CVPR 2011: 2697-2704 - [c6]Jian Dong, Yuzhao Ni, Jiashi Feng, Shuicheng Yan:
Purposive hidden-object game (P-HOG) towards imperceptible human computation. ACM Multimedia 2011: 773-774 - [c5]Yuzhao Ni, Jian Dong, Jiashi Feng, Shuicheng Yan:
Purposive hidden-object-game: embedding human computation in popular game. ACM Multimedia 2011: 1121-1124 - 2010
- [c4]Zheng Wang, Jiashi Feng, Changshui Zhang, Shuicheng Yan:
Learning to rank tags. CIVR 2010: 42-49 - [c3]Jiashi Feng, Bingbing Ni, Shuicheng Yan:
Auto-generation of professional background music for home-made videos. ICIMCS 2010: 15-18 - [c2]Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Hai Jin:
Image segmentation with patch-pair density priors. ACM Multimedia 2010: 113-122 - [c1]Jiashi Feng, Yantao Zheng, Shuicheng Yan:
Towards a universal detector by mining concepts with small semantic gaps. ACM Multimedia 2010: 1707-1710
Coauthor Index
[j82] [i220] [c190] [c188] [c186] [i197] [i185] [i169] [c161] [c150] [i155] [i146] [i141] [i137] [i136] [i135] [c140] [c133] [c127] [c123] [i129] [i126] [i121] [i96] [c106] [c94] [c90] [c86] [i77] [i73] [i72] [j22] [c78] [c77] [c76] [c74] [c72] [c59] [c56] [c47] [c46] [i67] [i66] [i51] [i40] [i33] [c32] [i21] [i17] [i15]
[j97] [c236] [c235] [c234] [c233] [c232] [i261] [i259] [j92] [i256] [i255] [i254] [i246] [i245] [i244] [i228] [i227] [i224] [i212] [c189] [c177] [i193] [i192] [i189] [i180] [c155] [j39] [i108] [i94] [c98] [c94] [c78] [c68] [c59] [c56] [c55] [c47] [c46] [i67] [i66] [i65] [i58] [i51] [i40] [i35] [c44] [c32] [c26] [i22] [i21] [i17] [i15] [i3]
Canyi Lu
aka: Can-Yi Lu
aka: Can-Yi Lu
Zheng Shou 0001
aka: Mike Zheng Shou
aka: Mike Zheng Shou
Francis E. H. Tay
aka: Francis Eng Hock Tay
aka: Francis Eng Hock Tay
[j98] [j96] [j95] [j93] [c221] [j91] [j90] [c213] [c209] [i207] [j77] [j76] [j74] [j68] [c188] [c186] [c178] [c176] [i198] [i197] [i182] [i177] [i176] [i169] [i167] [i166] [i165] [i163] [j67] [j66] [j63] [j61] [j56] [j53] [j51] [c167] [c161] [c153] [c152] [c151] [c150] [i155] [i146] [i141] [i140] [i137] [i136] [i135] [j48] [j47] [j45] [j43] [j41] [j39] [c142] [c140] [c133] [c131] [c125] [c124] [c123] [i127] [i121] [i104] [i103] [i96] [i94] [j38] [j34] [j33] [j32] [j31] [j29] [j28] [j26] [j25] [j24] [c122] [c115] [c114] [c108] [c106] [c104] [c102] [c98] [c94] [c93] [c92] [c90] [c88] [c86] [i90] [i89] [i83] [i81] [i77] [i74] [i73] [i72] [j23] [j22] [j21] [j20] [j18] [j17] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c67] [c66] [c63] [c62] [c61] [c59] [c56] [c55] [c50] [c49] [c47] [c46] [i69] [i67] [i66] [i65] [i64] [i63] [i53] [i52] [i51] [i50] [i48] [i47] [i46] [i42] [i41] [i40] [i39] [i37] [i36] [i35] [i34] [i33] [j16] [j14] [j13] [c44] [c42] [c41] [c40] [c38] [c36] [c35] [c34] [c32] [c28] [c26] [i31] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i18] [i17] [i16] [i15] [i13] [j12] [j11] [i12] [i11] [i8] [i6] [i5] [i3] [j10] [j9] [j8] [c22] [c21] [c20] [j6] [j5] [j4] [c19] [c18] [c17] [c16] [c15] [j2] [j1] [c14] [c13] [c12] [c11] [c10] [c9] [i1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[i271] [i269] [i267] [i266] [i257] [j92] [c225] [c222] [c217] [c215] [i243] [i241] [i237] [i235] [i234] [i233] [i232] [j87] [c212] [c202] [c199] [c198] [i217] [i215] [i209] [i206] [i205] [i203] [i201] [c192] [c189] [c177] [i194] [i193] [i192] [i189] [i180] [i164] [c161] [c155] [c150] [i146] [i141] [c128] [i108] [i106]
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