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Distilling Causal Effect of Data in Class-Incremental Learning


Mar 08, 2021
Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang


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


Oct 03, 2020
Kaihua Tang, Jianqiang Huang, Hanwang Zhang

* This paper is accepted by NeurIPS 2020. The code is available on GitHub: https://github.com/KaihuaTang/Long-Tailed-Recognition.pytorch 

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Counterfactual VQA: A Cause-Effect Look at Language Bias


Jun 15, 2020
Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen


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Learning to Segment the Tail


Apr 03, 2020
Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang


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Unbiased Scene Graph Generation from Biased Training


Mar 11, 2020
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang

* This paper is accepted by CVPR 2020. The code is publicly available on GitHub: https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch 

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Auto-Encoding Scene Graphs for Image Captioning


Dec 11, 2018
Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai


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Learning to Compose Dynamic Tree Structures for Visual Contexts


Dec 05, 2018
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu


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