Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang*. Large Scale Visual Food Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (Accepted).
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Weidong Chen, Guorong Li, Xinfeng Zhang, Shuhui Wang, Liang Li, Qingming Huang. Weakly Supervised Text-based Actor-Action Video Segmentation by Clip-level Multi-instance Learning. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022. (Accepted)
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Yong Li, Shiguang Shan. Meta Auxiliary Learning for Facial Action Unit Detection. IEEE Transactions on Affective Computing, 2021. (Accepted)
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Shikang Yu, Hu Han, Shiguang Shan, and Xilin Chen. CMOS-GAN: Semi-supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis, IEEE Transactions on Image Processing (TIP), 2022. (Accepted)
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Cheng Wang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen. Person Search by a Bi-directional Task-Consistent Learning Model. IEEE Transactions on Multimedia (TMM), 2021. (Accepted)
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Junbao Zhuo, Shuhui Wang, and Qingming Huang. Uncertainty Modeling for Robust Domain Adaptation Under Noisy Environments. IEEE Transactions on Multimedia (TMM), 2022. (Accepted)
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Yongqing Zhu, Xiangyang Li, Mao Zheng, Jiahao Yang, Zihan Wang, Xiaoqian Guo, Zifeng Chai, Yuchen Yuan, Shuqiang Jiang. Focus and Align: Learning Tube Tokens for Video-Language Pre-training. IEEE Transactions on Multimedia (TMM), 2022. (Accepted)
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Nan Kang, Hong Chang, Bingpeng Ma and Shiguang Shan. A Comprehensive Framework for Long-Tailed Learning via Pretraining and Normalization. IEEE Transactions on Neural Networks and Learning Systems, 2022. (Accepted)
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Nan Kang, Hong Chang, Bingpeng Ma, Shiguang Shan. A Comprehensive Framework for Long-tailed Learning via Pre-training and Normalization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. (Accepted)
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Yong Li, Jiabei Zeng and Shiguang Shan. Learning Representations for Facial Actions from Unlabeled Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (Accepted)
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Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Two-way Partial AUC with an End-to-end Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
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Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao and Qingming Huang. A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
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Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
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Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
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Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Accepted)
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Difei Gao, Ruiping Wang, Shiguang Shan and Xilin Chen. CRIC: A VQA Dataset for Compositional Reasoning on Vision and Commonsense. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
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Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao and Qingming Huang. Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
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Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, Weiqing Min. Dataset Bias in Few-Shot Image Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
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Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan. Learning pseudo labels for semi-and-weakly supervised semantic segmentation. Pattern Recognition (PR), 2022. (Accepted)
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侯瑞兵，常虹，马丙鹏，黄锐，山世光. 基于时序多尺度互补特征的视频行人重识别. 计算机学报，2022.（录用）
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