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2020 – today
- 2023
[c13]Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang:
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. NeurIPS 2023- [i12]Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang:
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. CoRR abs/2310.08106 (2023) - 2022
- [j1]Mitra Tajrobehkar
, Kaihua Tang, Hanwang Zhang, Joo-Hwee Lim:
Align R-CNN: A Pairwise Head Network for Visual Relationship Detection. IEEE Trans. Multim. 24: 1266-1276 (2022) - [c12]Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. ECCV (25) 2022: 92-109 - [c11]Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang:
Invariant Feature Learning for Generalized Long-Tailed Classification. ECCV (24) 2022: 709-726 - [c10]Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. ECCV (26) 2022: 739-756 - [i11]Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang:
Invariant Feature Learning for Generalized Long-Tailed Classification. CoRR abs/2207.09504 (2022) - [i10]Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. CoRR abs/2207.13378 (2022) - [i9]Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. CoRR abs/2208.03462 (2022) - 2021
- [b1]Kaihua Tang:
Towards robust inference against distribution shifts in computer vision. Nanyang Technological University, Singapore, 2021 - [c9]Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
Distilling Causal Effect of Data in Class-Incremental Learning. CVPR 2021: 3957-3966 - [c8]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CVPR 2021: 12700-12710 - [i8]Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
Distilling Causal Effect of Data in Class-Incremental Learning. CoRR abs/2103.01737 (2021) - [i7]Kaihua Tang, Mingyuan Tao, Hanwang Zhang:
Adversarial Visual Robustness by Causal Intervention. CoRR abs/2106.09534 (2021) - 2020
- [c7]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation From Biased Training. CVPR 2020: 3713-3722 - [c6]Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang:
Learning to Segment the Tail. CVPR 2020: 14042-14051 - [c5]Kaihua Tang, Jianqiang Huang, Hanwang Zhang:
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect. NeurIPS 2020 - [i6]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation from Biased Training. CoRR abs/2002.11949 (2020) - [i5]Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang:
Learning to Segment the Tail. CoRR abs/2004.00900 (2020) - [i4]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR abs/2006.04315 (2020) - [i3]Kaihua Tang, Jianqiang Huang, Hanwang Zhang:
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect. CoRR abs/2009.12991 (2020)
2010 – 2019
- 2019
- [c4]Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. CVPR 2019: 6619-6628 - [c3]Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding Scene Graphs for Image Captioning. CVPR 2019: 10685-10694 - 2018
- [i2]Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. CoRR abs/1812.01880 (2018) - [i1]Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding Scene Graphs for Image Captioning. CoRR abs/1812.02378 (2018) - 2017
- [c2]Kaihua Tang, Xiao-Nan Hou, Zhiwen Shao, Lizhuang Ma:
Deep feature selection and projection for cross-age face retrieval. CISP-BMEI 2017: 1-7 - 2016
- [c1]Kaihua Tang, Sei-ichiro Kamata, Xiao-Nan Hou, Shouhong Ding, Lizhuang Ma:
Eigen-Aging Reference Coding for Cross-Age Face Verification and Retrieval. ACCV (3) 2016: 389-403
Coauthor Index
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