Követés
Kaican Li
Kaican Li
PhD student in Computer Science, Hong Kong University of Science and Technology
E-mail megerősítve itt: connect.ust.hk
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2802020
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
2612018
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
241*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
173*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
1022022
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
52022
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
32023
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
12023
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
1
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
K Li, W Xie, Y Huang, D Deng, L Hong, Z Li, R Silva, NL Zhang
NeurIPS 2024, 2024
2024
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
K Li, Y Zhang, L Hong, Z Li, NL Zhang
NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation …, 2023
2023
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Cikkek 1–11