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 | 796 | 2019 |
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 | 667 | 2020 |
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 | 476 | 2019 |
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 | 431 | 2020 |
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 | 369 | 2021 |
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 | 186 | 2021 |
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 | 90 | 2020 |
Invariant feature learning for generalized long-tailed classification K Tang, M Tao, J Qi, Z Liu, H Zhang European Conference on Computer Vision, 709-726, 2022 | 44 | 2022 |
A Scene Graph Generation Codebase in PyTorch K Tang https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch, 2020 | 44* | 2020 |
Adversarial visual robustness by causal intervention K Tang, M Tao, H Zhang arXiv preprint arXiv:2106.09534, 2021 | 16 | 2021 |
Identifying hard noise in long-tailed sample distribution X Yi, K Tang, XS Hua, JH Lim, H Zhang European Conference on Computer Vision, 739-756, 2022 | 14 | 2022 |
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 European Conference on Computer Vision, 92-109, 2022 | 13 | 2022 |
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 | 12 | 2021 |
Eigen-aging reference coding for cross-age face verification and retrieval K Tang, S Kamata, X Hou, S Ding, L Ma Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 6 | 2017 |
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 | 4 | 2017 |
Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models B Zhu, K Tang, Q Sun, H Zhang Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Class is invariant to context and vice versa: On learning invariance for out-of-distribution generalization.(2022) J QI, K TANG, Q SUN, XS HUA, H ZHANG Proceedings of the 17th European Conference, Tel Aviv, Israel, 23-27, 2022 | | 2022 |
Towards robust inference against distribution shifts in computer vision K Tang Nanyang Technological University, 2021 | | 2021 |