Guided collaborative training for pixel-wise semi-supervised learning Z Ke, D Qiu, K Li, Q Yan, RWH Lau Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 234 | 2020 |
Referring image segmentation via recurrent refinement networks R Li, K Li, YC Kuo, M Shu, X Qi, X Shen, J Jia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 211 | 2018 |
Modnet: Real-time trimap-free portrait matting via objective decomposition Z Ke, J Sun, K Li, Q Yan, RWH Lau Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 1140-1147, 2022 | 201* | 2022 |
Ood-bench: Quantifying and understanding two dimensions of out-of-distribution generalization N Ye, K Li, H Bai, R Yu, L Hong, F Zhou, Z Li, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 137* | 2022 |
Coda: A real-world road corner case dataset for object detection in autonomous driving K Li, K Chen, H Wang, L Hong, C Ye, J Han, Y Chen, W Zhang, C Xu, ... European Conference on Computer Vision, 406-423, 2022 | 70 | 2022 |
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms R Yu, H Zhu, K Li, L Hong, R Zhang, N Ye, SL Huang, X He Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8945-8953, 2022 | 4 | 2022 |
Certifiable out-of-distribution generalization N Ye, L Zhu, J Wang, Z Zeng, J Shao, C Peng, B Pan, K Li, J Zhu Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10927 …, 2023 | 1 | 2023 |
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts K Li, Y Zhang, L Hong, Z Li, NL Zhang arXiv preprint arXiv:2310.06622, 2023 | | 2023 |
A Causal Framework to Unify Common Domain Generalization Approaches NL Zhang, K Li, H Gao, W Xie, Z Lin, Z Li, L Wang, Y Huang arXiv preprint arXiv:2307.06825, 2023 | | 2023 |
Consistency Regularization for Domain Generalization with Logit Attribution Matching H Gao, K Li, W Xie, LIN Zhi, Y Huang, L Wang, CC Cao, NL Zhang The 40th Conference on Uncertainty in Artificial Intelligence, 0 | | |