Kaihua Tang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 26

Top Topics

Incremental Learning

Tree Structures

Invariant Features

Top Venues

Publications

Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. NeurIPS (2023)
Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. CoRR (2023)
Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang
Invariant Feature Learning for Generalized Long-Tailed Classification. ECCV (24) (2022)
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 (2022)
Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang
Identifying Hard Noise in Long-Tailed Sample Distribution. ECCV (26) (2022)
Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang
Invariant Feature Learning for Generalized Long-Tailed Classification. CoRR (2022)
Mitra Tajrobehkar, Kaihua Tang, Hanwang Zhang, Joo-Hwee Lim
Align R-CNN: A Pairwise Head Network for Visual Relationship Detection. IEEE Trans. Multim. 24 (2022)
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)
Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang
Identifying Hard Noise in Long-Tailed Sample Distribution. CoRR (2022)
Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
Distilling Causal Effect of Data in Class-Incremental Learning. CVPR (2021)
Kaihua Tang, Mingyuan Tao, Hanwang Zhang
Adversarial Visual Robustness by Causal Intervention. CoRR (2021)
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)
Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
Distilling Causal Effect of Data in Class-Incremental Learning. CoRR (2021)
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
Unbiased Scene Graph Generation From Biased Training. CVPR (2020)
Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen
Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR (2020)
Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang
Learning to Segment the Tail. CoRR (2020)
Kaihua Tang, Jianqiang Huang, Hanwang Zhang
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect. CoRR (2020)
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
Unbiased Scene Graph Generation from Biased Training. CoRR (2020)
Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang
Learning to Segment the Tail. CVPR (2020)
Kaihua Tang, Jianqiang Huang, Hanwang Zhang
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect. NeurIPS (2020)
Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai
Auto-Encoding Scene Graphs for Image Captioning. CVPR (2019)
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
Learning to Compose Dynamic Tree Structures for Visual Contexts. CVPR (2019)
Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai
Auto-Encoding Scene Graphs for Image Captioning. CoRR (2018)
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
Learning to Compose Dynamic Tree Structures for Visual Contexts. CoRR (2018)
Kaihua Tang, Xiao-Nan Hou, Zhiwen Shao, Lizhuang Ma
Deep feature selection and projection for cross-age face retrieval. CISP-BMEI (2017)
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)