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2020 – today
- 2024
[j53]Zhenhuang Cai
, Chuanyi Zhang, Dan Huang, Yuanbo Chen, Xiuyun Guan, Yazhou Yao:
Group benefits instance for data purification. Comput. Electr. Eng. 116: 109156 (2024)- [j52]Jianjian Yin, Shuai Yan, Tao Chen, Yi Chen, Yazhou Yao:
Class Probability Space Regularization for semi-supervised semantic segmentation. Comput. Vis. Image Underst. 249: 104146 (2024) - [j51]Wang Zhang, Tingting Li, Yuntian Zhang, Gensheng Pei, Xiruo Jiang, Yazhou Yao:
LTFormer: A light-weight transformer-based self-supervised matching network for heterogeneous remote sensing images. Inf. Fusion 109: 102425 (2024) - [j50]Yang Xu, Shanshan Wu, Biqi Wang, Ming Yang, Zebin Wu, Yazhou Yao, Zhihui Wei:
Two-stage fine-grained image classification model based on multi-granularity feature fusion. Pattern Recognit. 146: 110042 (2024) - [j49]Yin Tang, Tao Chen, Xiruo Jiang, Yazhou Yao, Guo-Sen Xie, Heng Tao Shen:
Holistic Prototype Attention Network for Few-Shot Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6699-6709 (2024) - [j48]Tao Chen, Yazhou Yao, Xingguo Huang, Zechao Li, Liqiang Nie, Jinhui Tang:
Spatial Structure Constraints for Weakly Supervised Semantic Segmentation. IEEE Trans. Image Process. 33: 1136-1148 (2024) - [j47]Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen:
Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. IEEE Trans. Multim. 26: 7426-7437 (2024) - [j46]Xi Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guo-Sen Xie, Ling Shao:
Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5103-5116 (2024) - [j45]Haonan Luo, Guosheng Lin, Fumin Shen, Xingguo Huang, Yazhou Yao, Hengtao Shen:
Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12083-12094 (2024) - [j44]Xiruo Jiang, Yazhou Yao, Sheng Liu, Fumin Shen, Liqiang Nie, Xian-Sheng Hua:
Dual Dynamic Threshold Adjustment Strategy. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 224:1-224:18 (2024) - [c50]Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao:
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. AAAI 2024: 4820-4828 - [c49]Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao:
VideoMAC: Video Masked Autoencoders Meet ConvNets. CVPR 2024: 22733-22743 - [c48]Xinhao Cai, Qiuxia Lai, Yuwei Wang, Wenguan Wang, Zeren Sun, Yazhou Yao:
Poly Kernel Inception Network for Remote Sensing Detection. CVPR 2024: 27706-27716 - [c47]Shiyin Wang, Huafeng Liu, Qiong Wang, Yichao Zhou, Yazhou Yao:
SMP-Track: SAM in Multi-Pedestrian Tracking. DSAA 2024: 1-9 - [c46]Tao Chen, Xiruo Jiang, Gensheng Pei, Zeren Sun, Yucheng Wang, Yazhou Yao:
Knowledge Transfer with Simulated Inter-image Erasing for Weakly Supervised Semantic Segmentation. ECCV (42) 2024: 441-458 - [c45]Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao:
Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection. ICME 2024: 1-6 - [c44]Tingting Li, Gensheng Pei, Xinhao Cai, Qiong Wang, Huafeng Liu, Yazhou Yao:
Universal Organizer of Segment Anything Model for Unsupervised Semantic Segmentation. ICME 2024: 1-6 - [c43]Zhenhuang Cai, Shuai Yan, Yuanbo Chen, Chuanyi Zhang, Zeren Sun, Yazhou Yao:
Progressively Robust Loss for Deep Learning with Noisy Labels. IJCNN 2024: 1-8 - [c42]Meiqi Cao, Rui Yan, Xiangbo Shu, Guangzhao Dai, Yazhou Yao, Guo-Sen Xie:
AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition. ACM Multimedia 2024: 691-700 - [c41]Mengmeng Sheng, Zeren Sun, Gensheng Pei, Tao Chen, Haonan Luo, Yazhou Yao:
Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach. ACM Multimedia 2024: 4406-4415 - [i44]Tao Chen, Yazhou Yao, Xingguo Huang, Zechao Li, Liqiang Nie, Jinhui Tang:
Spatial Structure Constraints for Weakly Supervised Semantic Segmentation. CoRR abs/2401.11122 (2024) - [i43]Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen:
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection. CoRR abs/2402.11242 (2024) - [i42]Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao:
VideoMAC: Video Masked Autoencoders Meet ConvNets. CoRR abs/2402.19082 (2024) - [i41]Xinhao Cai, Qiuxia Lai, Yuwei Wang, Wenguan Wang, Zeren Sun, Yazhou Yao:
Poly Kernel Inception Network for Remote Sensing Detection. CoRR abs/2403.06258 (2024) - [i40]Zhenhuang Cai, Chuanyi Zhang, Dan Huang, Yuanbo Chen, Xiuyun Guan, Yazhou Yao:
Group Benefits Instances Selection for Data Purification. CoRR abs/2403.15694 (2024) - [i39]Gensheng Pei, Yazhou Yao, Jianbo Jiao, Wenguan Wang, Liqiang Nie, Jinhui Tang:
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation. CoRR abs/2404.13505 (2024) - [i38]Xiruo Jiang, Yazhou Yao, Sheng Liu, Fumin Shen, Liqiang Nie, Xiansheng Hua:
Dual Dynamic Threshold Adjustment Strategy for Deep Metric Learning. CoRR abs/2404.19282 (2024) - [i37]Wang Zhang, Tingting Li, Yuntian Zhang, Gensheng Pei, Xiruo Jiang, Yazhou Yao:
A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images. CoRR abs/2404.19311 (2024) - [i36]Meiqi Cao, Rui Yan, Xiangbo Shu, Guangzhao Dai, Yazhou Yao, Guo-Sen Xie:
AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition. CoRR abs/2405.02538 (2024) - [i35]Tingting Li, Gensheng Pei, Xinhao Cai, Huafeng Liu, Qiong Wang, Yazhou Yao:
Universal Organizer of SAM for Unsupervised Semantic Segmentation. CoRR abs/2405.11742 (2024) - [i34]Tao Chen, Xiruo Jiang, Gensheng Pei, Zeren Sun, Yucheng Wang, Yazhou Yao:
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation. CoRR abs/2407.02768 (2024) - [i33]Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao:
Foster Adaptivity and Balance in Learning with Noisy Labels. CoRR abs/2407.02778 (2024) - [i32]Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Xian-Sheng Hua, Heng Tao Shen:
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric. CoRR abs/2407.03106 (2024) - [i31]Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao:
Relating CNN-Transformer Fusion Network for Change Detection. CoRR abs/2407.03178 (2024) - [i30]Shaorong Sun, Shuchao Pang, Yazhou Yao, Xiaoshui Huang:
COMOGen: A Controllable Text-to-3D Multi-object Generation Framework. CoRR abs/2409.00590 (2024) - 2023
- [j43]Yazhou Yao, Wenguan Wang, Qiang Wu, Dongfang Liu, Jin Zheng:
Guest Editorial: Learning from limited annotations for computer vision tasks. IET Comput. Vis. 17(5): 509-512 (2023) - [j42]Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock:
Information bottleneck and selective noise supervision for zero-shot learning. Mach. Learn. 112(7): 2239-2261 (2023) - [j41]Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, Zhenmin Tang:
Depth and Video Segmentation Based Visual Attention for Embodied Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6807-6819 (2023) - [j40]Zhenhuang Cai, Guo-Sen Xie, Xingguo Huang, Dan Huang, Yazhou Yao, Zhenmin Tang:
Robust learning from noisy web data for fine-Grained recognition. Pattern Recognit. 134: 109063 (2023) - [j39]Zhenhuang Cai, Huafeng Liu, Dan Huang, Yazhou Yao, Zhenmin Tang:
Co-mining: Mining informative samples with noisy labels. Signal Process. 209: 109003 (2023) - [j38]Lei Ma, Yuhui Zheng, Zhao Zhang, Yazhou Yao, Xijian Fan, Qiaolin Ye:
Motion Stimulation for Compositional Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2061-2074 (2023) - [j37]Gensheng Pei, Yazhou Yao, Fumin Shen, Dan Huang, Xingguo Huang, Heng Tao Shen:
Hierarchical Co-Attention Propagation Network for Zero-Shot Video Object Segmentation. IEEE Trans. Image Process. 32: 2348-2359 (2023) - [j36]Tao Chen, Yazhou Yao, Jinhui Tang:
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation. IEEE Trans. Image Process. 32: 2960-2971 (2023) - [j35]Gensheng Pei, Fumin Shen, Yazhou Yao, Tao Chen, Xian-Sheng Hua, Heng Tao Shen:
Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation. IEEE Trans. Image Process. 32: 5909-5920 (2023) - [j34]Junzhu Mao, Yazhou Yao, Zeren Sun, Xingguo Huang, Fumin Shen, Heng Tao Shen:
Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device. IEEE Trans. Multim. 25: 1592-1599 (2023) - [j33]Tao Chen, Yazhou Yao, Lei Zhang, Qiong Wang, Guo-Sen Xie, Fumin Shen:
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 25: 1727-1737 (2023) - [j32]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Xian-Sheng Hua:
Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data. IEEE Trans. Multim. 25: 3284-3295 (2023) - [j31]Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, Zhenmin Tang:
Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition. IEEE Trans. Multim. 25: 4691-4703 (2023) - [j30]Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua:
FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network. IEEE Trans. Multim. 25: 8580-8592 (2023) - [c40]Rui Chen, Tao Chen, Qiong Wang, Yazhou Yao:
Semi-Supervised Semantic Segmentation With Region Relevance. ICME 2023: 852-857 - [i29]Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua:
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network. CoRR abs/2301.08160 (2023) - [i28]Junzhu Mao, Yazhou Yao, Zeren Sun, Xingguo Huang, Fumin Shen, Heng Tao Shen:
Attention Map Guided Transformer Pruning for Edge Device. CoRR abs/2304.01452 (2023) - [i27]Gensheng Pei, Yazhou Yao, Fumin Shen, Dan Huang, Xingguo Huang, Heng Tao Shen:
Co-attention Propagation Network for Zero-Shot Video Object Segmentation. CoRR abs/2304.03910 (2023) - [i26]Rui Chen, Tao Chen, Qiong Wang, Yazhou Yao:
Semi-Supervised Semantic Segmentation With Region Relevance. CoRR abs/2304.11539 (2023) - [i25]Tao Chen, Yazhou Yao, Jinhui Tang:
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation. CoRR abs/2305.05154 (2023) - [i24]Yin Tang, Tao Chen, Xiruo Jiang, Yazhou Yao, Guo-Sen Xie, Heng Tao Shen:
Holistic Prototype Attention Network for Few-Shot VOS. CoRR abs/2307.07933 (2023) - [i23]Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao:
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. CoRR abs/2312.09505 (2023) - [i22]Gensheng Pei, Fumin Shen, Yazhou Yao, Tao Chen, Xian-Sheng Hua, Heng Tao Shen:
Hierarchical Graph Pattern Understanding for Zero-Shot VOS. CoRR abs/2312.09525 (2023) - 2022
- [j29]Jian Guo, Mengying Ding, Qiong Wang, Chuanyi Zhang, Yazhou Yao:
An Uncertainly Dynamic Loss Correction and Global Sample Selection Method for Webly Supervised Fine-Grained Visual Classification. Circuits Syst. Signal Process. 41(6): 3265-3281 (2022) - [j28]Qiong Wang, Youdong Guo, Yazhou Yao:
DBFC-Net: a uniform framework for fine-grained cross-media retrieval. Multim. Syst. 28(2): 423-432 (2022) - [j27]Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua:
Dense Semantics-Assisted Networks for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3073-3084 (2022) - [j26]Feiyi Fang, Yazhou Yao, Tao Zhou, Guo-Sen Xie, Jianfeng Lu:
Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 26(11): 5310-5320 (2022) - [j25]Zhenbo Song, Jianfeng Lu, Yazhou Yao, Jian Zhang:
Self-Supervised Depth Completion From Direct Visual-LiDAR Odometry in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(8): 11654-11665 (2022) - [j24]Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, Jian Zhang:
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. IEEE Trans. Multim. 24: 546-557 (2022) - [j23]Tao Chen, Guo-Sen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang:
Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation. IEEE Trans. Multim. 24: 968-980 (2022) - [j22]Jian Zhang, Alan Hanjalic, Ramesh C. Jain, Xian-Sheng Hua, Shin'ichi Satoh, Yazhou Yao, Dan Zeng:
Guest Editorial: Learning From Noisy Multimedia Data. IEEE Trans. Multim. 24: 1247-1252 (2022) - [j21]Lu Zhang, Jialie Shen, Jian Zhang, Jingsong Xu, Zhibin Li, Yazhou Yao, Litao Yu:
Multimodal Marketing Intent Analysis for Effective Targeted Advertising. IEEE Trans. Multim. 24: 1830-1843 (2022) - [c39]Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao, Jinhui Tang:
PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction. CVPR 2022: 5301-5310 - [c38]Gensheng Pei, Fumin Shen, Yazhou Yao, Guo-Sen Xie, Zhenmin Tang, Jinhui Tang:
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation. ECCV (34) 2022: 596-613 - [c37]Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin:
Exploring Linear Feature Disentanglement for Neural Networks. ICME 2022: 1-6 - [c36]Maosheng Sun, Xiaoshui Huang, Zeren Sun, Qiong Wang, Yazhou Yao:
Unsupervised Pre-training for 3D Object Detection with Transformer. PRCV (3) 2022: 82-95 - [c35]Renjie Hu, Gensheng Pei, Pai Peng, Tao Chen, Yazhou Yao:
Feature Difference Enhancement Fusion for Remote Sensing Image Change Detection. PRCV (3) 2022: 510-523 - [c34]Jiaxing Tong, Tao Chen, Qiong Wang, Yazhou Yao:
Few-Shot Object Detection via Understanding Convolution and Attention. PRCV (1) 2022: 674-687 - [i21]Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin:
Exploring Linear Feature Disentanglement For Neural Networks. CoRR abs/2203.11700 (2022) - [i20]Tao Chen, Yazhou Yao, Lei Zhang, Qiong Wang, Guo-Sen Xie, Fumin Shen:
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation. CoRR abs/2206.09554 (2022) - [i19]Gensheng Pei, Fumin Shen, Yazhou Yao, Guo-Sen Xie, Zhenmin Tang, Jinhui Tang:
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation. CoRR abs/2207.08485 (2022) - 2021
- [j20]Zeren Sun, Yazhou Yao, Jimin Xiao, Lei Zhang, Jian Zhang, Zhenmin Tang:
Exploiting textual queries for dynamically visual disambiguation. Pattern Recognit. 110: 107620 (2021) - [j19]Jian Dong, Wankou Yang, Yazhou Yao, Fatih Porikli:
Knowledge memorization and generation for action recognition in still images. Pattern Recognit. 120: 108188 (2021) - [j18]Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, Ling Shao:
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning. IEEE Trans. Image Process. 30: 4316-4329 (2021) - [j17]Haofeng Zhang, Yifan Gu, Yazhou Yao, Zheng Zhang, Li Liu, Jian Zhang, Ling Shao:
Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval. IEEE Trans. Multim. 23: 3400-3413 (2021) - [c33]Yazhou Yao, Tao Chen, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang:
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation. CVPR 2021: 2623-2632 - [c32]Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang:
Jo-SRC: A Contrastive Approach for Combating Noisy Labels. CVPR 2021: 5192-5201 - [c31]Guo-Sen Xie, Huan Xiong, Jie Liu, Yazhou Yao, Ling Shao:
Few-Shot Semantic Segmentation with Cyclic Memory Network. ICCV 2021: 7273-7282 - [c30]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen:
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. ICCV 2021: 10582-10591 - [c29]Shangrong Huang, Quanyu Ma, Chao Yang, Yazhou Yao:
Link Prediction with Multiple Structural Attentions in Multiplex Networks. IJCNN 2021: 1-9 - [c28]Ji Zhang, Jingkuan Song, Yazhou Yao, Lianli Gao:
Curriculum-Based Meta-learning. ACM Multimedia 2021: 1838-1846 - [c27]Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu:
Video Representation Learning with Graph Contrastive Augmentation. ACM Multimedia 2021: 3043-3051 - [c26]Chuanyi Zhang, Yazhou Yao, Xing Xu, Jie Shao, Jingkuan Song, Zechao Li, Zhenmin Tang:
Extracting Useful Knowledge from Noisy Web Images via Data Purification for Fine-Grained Recognition. ACM Multimedia 2021: 4063-4072 - [c25]Yifan Ren, Xing Xu, Fumin Shen, Yazhou Yao, Huimin Lu:
CAA: Candidate-Aware Aggregation for Temporal Action Detection. ACM Multimedia 2021: 4930-4938 - [c24]Chen Wang, Yazhou Yao, Qiong Wang, Zhenmin Tang:
Local Self-Attention on Fine-grained Cross-media Retrieval. MMAsia 2021: 10:1-10:7 - [i18]Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Zhenmin Tang:
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. CoRR abs/2101.09412 (2021) - [i17]Tao Chen, Guo-Sen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang:
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation. CoRR abs/2102.10935 (2021) - [i16]Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang:
Jo-SRC: A Contrastive Approach for Combating Noisy Labels. CoRR abs/2103.13029 (2021) - [i15]Yazhou Yao, Tao Chen, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang:
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation. CoRR abs/2103.14581 (2021) - [i14]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen:
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. CoRR abs/2108.02399 (2021) - 2020
- [j16]Pengzhen Du, Zeren Sun, Yazhou Yao, Zhenmin Tang:
Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification. IEEE Access 8: 186679-186690 (2020) - [j15]Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenming Tang:
Road segmentation with image-LiDAR data fusion in deep neural network. Multim. Tools Appl. 79(47): 35503-35518 (2020) - [j14]Haofeng Zhang, Jingren Liu, Yazhou Yao, Yang Long:
Pseudo distribution on unseen classes for generalized zero shot learning. Pattern Recognit. Lett. 135: 451-458 (2020) - [j13]Chenglong Shi, Jiachao Zhang, Yazhou Yao, Yunlian Sun, Huaming Rao, Xiangbo Shu:
CAN-GAN: Conditioned-attention normalized GAN for face age synthesis. Pattern Recognit. Lett. 138: 520-526 (2020) - [j12]Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, Heng Tao Shen:
Towards Automatic Construction of Diverse, High-Quality Image Datasets. IEEE Trans. Knowl. Data Eng. 32(6): 1199-1211 (2020) - [j11]Yazhou Yao, Fumin Shen, Guo-Sen Xie, Li Liu, Fan Zhu, Jian Zhang, Heng Tao Shen:
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2348-2360 (2020) - [j10]Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao:
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4881-4891 (2020) - [c23]Chuanyi Zhang, Yazhou Yao, Huafeng Liu, Guo-Sen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang:
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. AAAI 2020: 12781-12788 - [c22]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. AAAI 2020: 13066-13073 - [c21]Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao:
Region Graph Embedding Network for Zero-Shot Learning. ECCV (4) 2020: 562-580 - [c20]Tao Chen, Jian Zhang, Guo-Sen Xie, Yazhou Yao, Xiaoshui Huang, Zhenmin Tang:
Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation. ICME 2020: 1-6 - [c19]Jiarou Lu, Huafeng Liu, Yazhou Yao, Shuyin Tao, Zhenming Tang, Jianfeng Lu:
Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation. ICME 2020: 1-6 - [c18]Chuanyi Zhang, Yazhou Yao, Jiachao Zhang, Jiaxin Chen, Pu Huang, Jian Zhang, Zhenmin Tang:
Web-Supervised Network for Fine-Grained Visual Classification. ICME 2020: 1-6 - [c17]Jin Hong, Haonan Luo, Yazhou Yao, Zhenmin Tang:
Generative Adversarial and Self-Attention Based Fine-Grained Cross-Media Retrieval. ICVISP 2020: 2:1-2:8 - [c16]Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu:
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing. IJCAI 2020: 853-859 - [c15]Zeren Sun, Xian-Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang:
CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning. ACM Multimedia 2020: 92-101 - [c14]Yazhou Yao, Xiansheng Hua, Guanyu Gao, Zeren Sun, Zhibin Li, Jian Zhang:
Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch. ACM Multimedia 2020: 1735-1744 - [c13]Chuanyi Zhang, Yazhou Yao, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu:
Data-driven Meta-set Based Fine-Grained Visual Recognition. ACM Multimedia 2020: 2372-2381 - [c12]Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu:
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. ACM Multimedia 2020: 4461-4464 - [c11]Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu:
Field-wise Learning for Multi-field Categorical Data. NeurIPS 2020 - [c10]Jiemi Bai, Yazhou Yao, Qiong Wang, Yichao Zhou, Wankou Yang, Fumin Shen:
Multi-model Network for Fine-Grained Cross-Media Retrieval. PRCV (2) 2020: 187-199 - [c9]Duyao Fan, Yazhou Yao, Yunfei Cai, Xiangbo Shu, Pu Huang, Wankou Yang:
A Novel CNN Architecture for Real-Time Point Cloud Recognition in Road Environment. PRCV (1) 2020: 206-218 - [i13]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. CoRR abs/2003.04253 (2020) - [i12]Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu:
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. CoRR abs/2005.02154 (2020) - [i11]Zeren Sun, Xian-Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang:
Salvage Reusable Samples from Noisy Data for Robust Learning. CoRR abs/2008.02427 (2020) - [i10]Chuanyi Zhang, Yazhou Yao, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu:
Data-driven Meta-set Based Fine-Grained Visual Classification. CoRR abs/2008.02438 (2020) - [i9]Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu:
Field-wise Learning for Multi-field Categorical Data. CoRR abs/2012.00202 (2020) - [i8]Xiu-Shen Wei, Yu-Yan Xu, Yazhou Yao, Jia Wei, Si Xi, Wenyuan Xu, Weidong Zhang, Xiaoxin Lv, Dengpan Fu, Qing Li, Baoying Chen, Haojie Guo, Taolue Xue, Haipeng Jing, Zhiheng Wang, Tianming Zhang, Mingwen Zhang:
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge. CoRR abs/2012.14672 (2020)
2010 – 2019
- 2019
- [j9]Yifan Gu, Shidong Wang, Haofeng Zhang, Yazhou Yao, Wankou Yang, Li Liu:
Clustering-driven unsupervised deep hashing for image retrieval. Neurocomputing 368: 114-123 (2019) - [j8]Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenmin Tang:
Deep representation learning for road detection using Siamese network. Multim. Tools Appl. 78(17): 24269-24283 (2019) - [j7]Yazhou Yao, Wankou Yang, Pu Huang, Qiong Wang, Yunfei Cai, Zhenmin Tang:
Exploiting textual and visual features for image categorization. Pattern Recognit. Lett. 117: 140-145 (2019) - [j6]Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao:
Extracting Privileged Information for Enhancing Classifier Learning. IEEE Trans. Image Process. 28(1): 436-450 (2019) - [j5]Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao:
Extracting Multiple Visual Senses for Web Learning. IEEE Trans. Multim. 21(1): 184-196 (2019) - [c8]Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao:
Attentive Region Embedding Network for Zero-Shot Learning. CVPR 2019: 9384-9393 - [c7]Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao:
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. ICCV 2019: 9666-9675 - [c6]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. IJCAI 2019: 996-1002 - [i7]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. CoRR abs/1905.10955 (2019) - [i6]Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang:
Road Segmentation with Image-LiDAR Data Fusion. CoRR abs/1905.11559 (2019) - [i5]Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenming Tang:
Deep Representation Learning for Road Detection through Siamese Network. CoRR abs/1905.13394 (2019) - [i4]Yazhou Yao, Jian Zhang, Xian-Sheng Hua, Fumin Shen, Zhenmin Tang:
Extracting Visual Knowledge from the Internet: Making Sense of Image Data. CoRR abs/1906.03219 (2019) - 2018
- [b1]Yazhou Yao:
Towards automatic construction of diverse, high-quality image dataset. University of Technology Sydney, Australia, 2018 - [j4]Pu Huang, Tao Li, Guangwei Gao, Yazhou Yao, Geng Yang:
Collaborative representation based local discriminant projection for feature extraction. Digit. Signal Process. 76: 84-93 (2018) - [c5]Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang:
Discovering and Distinguishing Multiple Visual Senses for Polysemous Words. AAAI 2018: 523-530 - [c4]Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xian-Sheng Hua, Zhenmin Tang:
Extracting Privileged Information from Untagged Corpora for Classifier Learning. IJCAI 2018: 1085-1091 - 2017
- [j3]Mengyu Xu, Zhenmin Tang, Yazhou Yao, Lingxiang Yao, Huafeng Liu, Jingsong Xu:
Deep Learning for Person Reidentification Using Support Vector Machines. Adv. Multim. 2017: 9874345:1-9874345:12 (2017) - [j2]Yazhou Yao, Jian Zhang, Fumin Shen, Xian-Sheng Hua, Jingsong Xu, Zhenmin Tang:
A new web-supervised method for image dataset constructions. Neurocomputing 236: 23-31 (2017) - [j1]Yazhou Yao, Jian Zhang, Fumin Shen, Xian-Sheng Hua, Jingsong Xu, Zhenmin Tang:
Exploiting Web Images for Dataset Construction: A Domain Robust Approach. IEEE Trans. Multim. 19(8): 1771-1784 (2017) - [i3]Yazhou Yao, Jian Zhang, Fumin Shen, Xian-Sheng Hua, Wankou Yang, Zhenmin Tang:
Refining Image Categorization by Exploiting Web Images and General Corpus. CoRR abs/1703.05451 (2017) - [i2]Yazhou Yao, Jian Zhang, Fumin Shen, Dongxiang Zhang, Zhenmin Tang, Heng Tao Shen:
Towards Automatic Construction of Diverse, High-quality Image Dataset. CoRR abs/1708.06495 (2017) - 2016
- [c3]Yazhou Yao, Jian Zhang, Fumin Shen, Xian-Sheng Hua, Jingsong Xu, Zhenmin Tang:
Automatic image dataset construction with multiple textual metadata. ICME 2016: 1-6 - [c2]Yazhou Yao, Xian-Sheng Hua, Fumin Shen, Jian Zhang, Zhenmin Tang:
A Domain Robust Approach For Image Dataset Construction. ACM Multimedia 2016: 212-216 - [c1]Yazhou Yao, Jian Zhang, Xian-Sheng Hua, Fumin Shen, Zhenmin Tang:
Extracting Visual Knowledge from the Internet: Making Sense of Image Data. MMM (1) 2016: 862-873 - [i1]Yazhou Yao, Jian Zhang, Fumin Shen, Xian-Sheng Hua, Jingsong Xu, Zhenmin Tang:
Exploiting Web Images for Dataset Construction: A Domain Robust Approach. CoRR abs/1611.07156 (2016)
Coauthor Index
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