Kaihua Tang

According to our database, Kaihua Tang authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models.

Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Align R-CNN: A Pairwise Head Network for Visual Relationship Detection.

Mitra Tajrobehkar, Kaihua Tang, Hanwang Zhang, Joo-Hwee Lim

IEEE Trans. Multim., 2022

Identifying Hard Noise in Long-Tailed Sample Distribution.

Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Invariant Feature Learning for Generalized Long-Tailed Classification.

Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

Proceedings of the Computer Vision, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Towards robust inference against distribution shifts in computer vision

Kaihua Tang

PhD thesis, 2021

Adversarial Visual Robustness by Causal Intervention.

Kaihua Tang, Mingyuan Tao, Hanwang Zhang

CoRR, 2021

Counterfactual VQA: A Cause-Effect Look at Language Bias.

Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Causal Effect of Data in Class-Incremental Learning.

Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect.

Kaihua Tang, Jianqiang Huang, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unbiased Scene Graph Generation From Biased Training.

Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Segment the Tail.

Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Auto-Encoding Scene Graphs for Image Captioning.

Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Compose Dynamic Tree Structures for Visual Contexts.

Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Deep feature selection and projection for cross-age face retrieval.

Kaihua Tang, Xiao-Nan Hou, Zhiwen Shao, Lizhuang Ma

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

Eigen-Aging Reference Coding for Cross-Age Face Verification and Retrieval.

Kaihua Tang, Sei-ichiro Kamata, Xiao-Nan Hou, Shouhong Ding, Lizhuang Ma

Proceedings of the Computer Vision - ACCV 2016, 2016