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2020 – today
- 2024
[j16]Xipeng Chen, Junzheng Zhang, Keze Wang
, Pengxu Wei, Liang Lin:
Multi-Person 3D Pose Estimation With Occlusion Reasoning. IEEE Trans. Multim. 26: 878-889 (2024)- [j15]Hefeng Wu, Hao Jiang, Keze Wang, Ziyi Tang, Xianghuan He, Liang Lin:
Improving Network Interpretability via Explanation Consistency Evaluation. IEEE Trans. Multim. 26: 11261-11273 (2024) - [c28]Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr:
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. AAAI 2024: 1156-1164 - [c27]Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang:
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. AAAI 2024: 1770-1777 - [c26]Qingyi Liu, Jinghui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang:
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. AAAI 2024: 18689-18697 - [c25]Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu:
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. CVPR 2024: 25399-25408 - [c24]Lingling Li, Weicong Li, Qiyuan Ding, Chengpei Tang, Keze Wang:
Gesture Generation Via Diffusion Model with Attention Mechanism. ICASSP 2024: 8316-8320 - [i36]Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu:
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. CoRR abs/2401.06312 (2024) - [i35]Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr:
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. CoRR abs/2403.01325 (2024) - [i34]Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Keze Wang, Hua Wu:
On Training Data Influence of GPT Models. CoRR abs/2404.07840 (2024) - [i33]Hefeng Wu, Hao Jiang, Keze Wang, Ziyi Tang, Xianghuan He, Liang Lin:
Improving Network Interpretability via Explanation Consistency Evaluation. CoRR abs/2408.04600 (2024) - [i32]Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian:
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. CoRR abs/2411.14205 (2024) - [i31]Haijing Liu, Tao Pu, Hefeng Wu, Keze Wang, Liang Lin:
Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition. CoRR abs/2412.06190 (2024) - 2023
- [j14]Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin:
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13363-13375 (2023) - [c23]Junzheng Zhang, Xipeng Chen, Keze Wang, Pengxu Wei, Liang Lin:
FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features. PRCV (2) 2023: 54-65 - [c22]Hao Jiang, Haowei Li, Junhao Chen, Wentao Wan, Keze Wang:
Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework. PRCV (9) 2023: 145-157 - [i30]Ziyi Tang, Ruilin Wang, Weixing Chen, Keze Wang, Yang Liu, Tianshui Chen, Liang Lin:
Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs. CoRR abs/2308.11914 (2023) - [i29]Wentao Wan, Zeqing Wang, Nan Kang, Keze Wang, Zhiyu Shen, Liang Lin:
VisualProg Distiller: Learning to Fine-tune Non-differentiable Visual Programming Frameworks. CoRR abs/2309.09809 (2023) - [i28]Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin:
SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. CoRR abs/2311.10011 (2023) - [i27]Zeqing Wang, Wentao Wan, Runmeng Chen, Qiqing Lao, Minjie Lang, Keze Wang:
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering. CoRR abs/2311.17331 (2023) - [i26]Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang:
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. CoRR abs/2312.10877 (2023) - 2022
- [j13]Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning. IEEE Trans. Image Process. 31: 1978-1993 (2022) - [j12]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2758-2767 (2022) - [c21]Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. ICASSP 2022: 1660-1664 - 2021
- [j11]Yang Liu, Keze Wang, Guanbin Li, Liang Lin:
Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. IEEE Trans. Image Process. 30: 5573-5588 (2021) - [c20]Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy:
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. EMNLP (1) 2021: 6398-6416 - [c19]Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin:
Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. ICCV 2021: 1594-1603 - [c18]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. ICCV 2021: 9485-9495 - [c17]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA 2021: 9490-9497 - [i25]Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin:
Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR abs/2101.00820 (2021) - [i24]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. CoRR abs/2104.08760 (2021) - [i23]Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu:
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR abs/2109.01401 (2021) - [i22]Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy. CoRR abs/2111.04331 (2021) - [i21]Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR abs/2112.03587 (2021) - 2020
- [j10]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1069-1082 (2020) - [j9]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2809-2824 (2020) - [c16]Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin:
Grammatically Recognizing Images with Tree Convolution. KDD 2020: 903-912 - [i20]Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin:
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR abs/2003.06534 (2020) - [i19]Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin:
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. CoRR abs/2003.10065 (2020) - [i18]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR abs/2011.14487 (2020) - [i17]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. CoRR abs/2012.07192 (2020)
2010 – 2019
- 2019
- [j8]Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng:
Instance-aware representation learning and association for online multi-person tracking. Pattern Recognit. 94: 25-34 (2019) - [j7]Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. IEEE Trans. Neural Networks Learn. Syst. 30(3): 834-850 (2019) - [c15]Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. CVPR 2019: 1781-1790 - [i16]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-supervised Learning. CoRR abs/1901.03798 (2019) - [i15]Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. CoRR abs/1904.03579 (2019) - [i14]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. CoRR abs/1905.01509 (2019) - [i13]Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng:
Instance-Aware Representation Learning and Association for Online Multi-Person Tracking. CoRR abs/1905.12409 (2019) - 2018
- [j6]Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang:
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 7-19 (2018) - [j5]Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin:
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2667-2678 (2018) - [c14]Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin:
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. CVPR 2018: 1605-1613 - [c13]Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin:
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. CVPR 2018: 3243-3252 - [c12]Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun:
Convolutional Memory Blocks for Depth Data Representation Learning. IJCAI 2018: 2790-2797 - [c11]Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, Liang Lin:
Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry. IROS 2018: 693-698 - [i12]Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin:
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection. CoRR abs/1803.09867 (2018) - [i11]Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. CoRR abs/1807.00147 (2018) - 2017
- [j4]Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin:
Cost-Effective Active Learning for Deep Image Classification. IEEE Trans. Circuits Syst. Video Technol. 27(12): 2591-2600 (2017) - [j3]Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin:
Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning. IEEE Trans. Multim. 19(12): 2804-2815 (2017) - [c10]Ya Li, Keze Wang, Lin Nie, Qing Wang:
Face Recognition via Heuristic Deep Active Learning. CCBR 2017: 97-107 - [c9]Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng:
Recurrent 3D Pose Sequence Machines. CVPR 2017: 5543-5552 - [c8]Lin Nie, Keze Wang, Xiaoling Fan, Yuefang Gao:
Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark. DICTA 2017: 1-7 - [c7]Lin Nie, Keze Wang, Wenxiong Kang, Yuefang Gao:
Image Retrieval with Attribute-Associated Auxiliary References. DICTA 2017: 1-6 - [i10]Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin:
Cost-Effective Active Learning for Deep Image Classification. CoRR abs/1701.03551 (2017) - [i9]Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang:
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. CoRR abs/1701.03555 (2017) - [i8]Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin:
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning. CoRR abs/1707.08340 (2017) - [i7]Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin:
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. CoRR abs/1707.09119 (2017) - [i6]Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng:
Recurrent 3D Pose Sequence Machines. CoRR abs/1707.09695 (2017) - 2016
- [j2]Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, Lei Zhang:
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition. Int. J. Comput. Vis. 118(2): 256-273 (2016) - [c6]Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. CVPR 2016: 2138-2146 - [c5]Yukai Shi, Keze Wang, Li Xu, Liang Lin:
Local- and holistic-structure preserving image super resolution via deep joint component learning. ICME 2016: 1-6 - [c4]Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang:
Learning a lightweight deep convolutional network for joint age and gender recognition. ICPR 2016: 3282-3287 - [c3]Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin:
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. ACM Multimedia 2016: 1227-1236 - [i5]Yukai Shi, Keze Wang, Li Xu, Liang Lin:
Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning. CoRR abs/1607.07220 (2016) - [i4]Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin:
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. CoRR abs/1608.03932 (2016) - 2015
- [j1]Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi:
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence. IEEE Trans. Image Process. 24(10): 3019-3033 (2015) - [i3]Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo:
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. CoRR abs/1501.06262 (2015) - [i2]Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi:
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence. CoRR abs/1505.03227 (2015) - [i1]Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, Lei Zhang:
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition. CoRR abs/1512.01642 (2015) - 2014
- [c2]Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo:
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. ACM Multimedia 2014: 97-106 - 2013
- [c1]Keyang Shi, Keze Wang, Jiangbo Lu, Liang Lin:
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors. CVPR 2013: 2115-2122
Coauthor Index
[j16] [j15] [i33] [i31] [j14] [c23] [i30] [i29] [i28] [j13] [j12] [c21] [j11] [c19] [c18] [c17] [i25] [i24] [i22] [i21] [j10] [j9] [c16] [i20] [i19] [i18] [i17] [j7] [c15] [i16] [i15] [i14] [j6] [j5] [c14] [c13] [c12] [c11] [i12] [i11] [j4] [j3] [c9] [i10] [i9] [i8] [i7] [i6] [j2] [c6] [c5] [c4] [c3] [i5] [i4] [j1] [i3] [i2] [i1] [c2] [c1]
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