Tang, Kaihua

11 publications

NeurIPS 2023 Generalized Logit Adjustment: Calibrating Fine-Tuned Models by Removing Label Bias in Foundation Models Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang

ECCV 2022 Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang

ECCV 2022 Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang

ECCV 2022 Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

CVPR 2021 Counterfactual VQA: A Cause-Effect Look at Language Bias Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen

CVPR 2021 Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang

CVPR 2020 Learning to Segment the Tail Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang

NeurIPS 2020 Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang, Jianqiang Huang, Hanwang Zhang

CVPR 2020 Unbiased Scene Graph Generation from Biased Training Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang

CVPR 2019 Auto-Encoding Scene Graphs for Image Captioning Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai

CVPR 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu