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Kaihua Tang
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Cited by
Year
Auto-encoding scene graphs for image captioning
X Yang, K Tang, H Zhang, J Cai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4802019
Unbiased scene graph generation from biased training
K Tang, Y Niu, J Huang, J Shi, H Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2812020
Learning to compose dynamic tree structures for visual contexts
K Tang, H Zhang, B Wu, W Luo, W Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2272019
Long-tailed classification by keeping the good and removing the bad momentum causal effect
K Tang, J Huang, H Zhang
Advances in Neural Information Processing Systems 33, 2020
1832020
Counterfactual vqa: A cause-effect look at language bias
Y Niu, K Tang, H Zhang, Z Lu, XS Hua, JR Wen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1372021
Distilling Causal Effect of Data in Class-Incremental Learning
X Hu, K Tang, C Miao, XS Hua, H Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
652021
Learning to Segment the Tail
X Hu, Y Jiang, K Tang, J Chen, C Miao, H Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
422020
A Scene Graph Generation Codebase in PyTorch
K Tang
https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch, 2020
26*2020
Adversarial Visual Robustness by Causal Intervention
K Tang, M Tao, H Zhang
arXiv preprint arXiv:2106.09534, 2021
62021
Align R-CNN: A pairwise head network for visual relationship detection
M Tajrobehkar, K Tang, H Zhang, JH Lim
IEEE Transactions on Multimedia 24, 1266-1276, 2021
52021
Deep feature selection and projection for cross-age face retrieval
K Tang, X Hou, Z Shao, L Ma
2017 10th International Congress on Image and Signal Processing, BioMedical …, 2017
42017
Eigen-Aging Reference Coding for Cross-Age Face Verification and Retrieval
K Tang, S Kamata, X Hou, S Ding, L Ma
Asian Conference on Computer Vision, 389-403, 2016
42016
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
J Qi, K Tang, Q Sun, XS Hua, H Zhang
arXiv preprint arXiv:2208.03462, 2022
12022
Identifying Hard Noise in Long-Tailed Sample Distribution
X Yi, K Tang, XS Hua, JH Lim, H Zhang
arXiv preprint arXiv:2207.13378, 2022
2022
Invariant Feature Learning for Generalized Long-Tailed Classification
K Tang, M Tao, J Qi, Z Liu, H Zhang
arXiv preprint arXiv:2207.09504, 2022
2022
Towards robust inference against distribution shifts in computer vision
K Tang
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Articles 1–16