Computer Vision:
14. Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao*, "Foster Adaptivity and Balance in Learning with Noisy Labels", European Conference on Computer Vision (ECCV), 2024.
13. Tao Chen, XiRuo Jiang, Gensheng Pei, Zeren Sun, Yucheng Wang, Yazhou Yao*, "Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation", European Conference on Computer Vision (ECCV), 2024.
12. Ruhao Ma, Shuchao Pang, Bing Li, Yongbin Zhou, Yazhou Yao, "Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs", European Conference on Computer Vision (ECCV), 2024.
11. Xinhao Cai, Qiuxia LAI, Yuwei Wang, Wenguan Wang*, Zeren Sun, Yazhou Yao*, "Poly Kernel Inception Network for Remote Sensing Detection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
10. Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao*, "VideoMAC: Video Masked Autoencoders Meet ConvNets", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
9. Gensheng Pei, Yazhou Yao*, Guo-Sen Xie, Fumin Shen, Zhenmin Tang, Jinhui Tang, "Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation", European Conference on Computer Vision (ECCV), 2022.
8. Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao*, and Jinhui Tang, “PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
7. Zeren Sun, Yazhou Yao*, Xiu-Shen Wei*, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, and Heng Tao Shen, “Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach”, IEEE International Conference on Computer Vision (ICCV), 2021.
6. Guo-Sen Xie, Jie Liu, Huan Xiong, Yazhou Yao, and Ling Shao, “Few-Shot Semantic Segmentation with Cyclic Memory Network”, IEEE International Conference on Computer Vision (ICCV), 2021.
5. Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang, “Jo-SRC: A Contrastive Approach for Combating Noisy Labels”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
4. Yazhou Yao, Tao Chen, Guosen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang, “Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
3. Guosen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao, “Region Graph Embedding Network for Zero-Shot Learning”, European Conference on Computer Vision (ECCV), 2020.
2. Guo-Sen Xie, Li Liu, Xiao-Bo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, and Ling Shao, “Attentive Region Embedding Network for Zero-shot Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
1. Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, and Yazhou Yao, “SegEQA: Video Segmentation based Visual Attention for Embodied Question Answering”, IEEE International Conference on Computer Vision (ICCV), 2019.
Multimedia & Machine Learning:
12. 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 International Conference on Multimedia (ACM MM), 2024.
11. Meiqi Cao, Rui Yan, Xiangbo Shu, Guangzhao Dai, Yazhou Yao, Guosen Xie, "AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition", ACM International Conference on Multimedia (ACM MM), 2024.
10. Chuanyi Zhang, Yazhou Yao*, Xing Xu, Jie Shao, Jingkuan Song, Zechao Li, Zhenmin Tang, “Extracting Useful Knowledge form Noisy Web Images via Data Purification for Fine-Grained Recognition”, ACM International Conference on Multimedia (ACM MM), 2021.
9. Ji Zhang, Jingkuan Song, Yazhou Yao, Lianli Gao, “Curriculum-Based Meta-learning”, ACM International Conference on Multimedia (ACM MM), 2021.
8. Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu, “Video Representation Learning with Graph Contrastive Augmentation”, ACM International Conference on Multimedia (ACM MM), 2021.
7. Yifan Ren, Xing Xu, Fumin Shen, Yazhou Yao, Huimin Lu, “CAA: Candidate-Aware Aggregation for Temporal Action Detection”, ACM International Conference on Multimedia (ACM MM), 2021.
6. Chuanyi Zhang, Yazhou Yao*, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu, “Data-driven Meta-set Based Fine-Grained Visual Recognition”, ACM International Conference on Multimedia (ACM MM), 2020.
5. 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 International Conference on Multimedia (ACM MM), 2020.
4. Benyi Hu, Renjie Song, Xiu-Shen Wei, Yazhou Yao, Xiansheng Hua, and Yuehu Liu, “PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks”, ACM International Conference on Multimedia (ACM MM), 2020.
3. Yazhou Yao, Xian-sheng 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 International Conference on Multimedia (ACM MM), 2020.
2. Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu, “Field-wise Learning for Multi-field Categorical Data”, Neural Information Processing Systems (NIPS), 2020.
1. Yazhou Yao, Xiansheng Hua, Fumin Shen, Jian Zhang and Zhenmin Tang, “A Domain Robust Approach for Image Dataset Construction”, ACM Conference on Multimedia (ACM MM), 2016.