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ORCIDKaican Li
Person information
- affiliation: The Hong Kong University of Science and Technology
- affiliation (former): SenseTime Research
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2020 – today
- 2023
[c7]Nanyang Ye, Lin Zhu
, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu:
Certifiable Out-of-Distribution Generalization. AAAI 2023: 10927-10935- [i8]Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang:
Contrastive Domain Generalization via Logit Attribution Matching. CoRR abs/2305.07888 (2023) - [i7]Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang:
A Causal Framework to Unify Common Domain Generalization Approaches. CoRR abs/2307.06825 (2023) - [i6]Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang:
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. CoRR abs/2310.06622 (2023) - 2022
- [c6]Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau:
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. AAAI 2022: 1140-1147 - [c5]Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He:
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI 2022: 8945-8953 - [c4]Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu:
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR 2022: 7937-7948 - [c3]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 2022: 406-423 - [i5]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR abs/2203.07724 (2022) - [i4]Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He:
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR abs/2206.05749 (2022) - 2021
- [i3]Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li:
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR abs/2106.03721 (2021) - 2020
- [c2]Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau:
Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning. ECCV (13) 2020: 429-445 - [i2]Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau:
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning. CoRR abs/2008.05258 (2020) - [i1]Zhanghan Ke, Kaican Li, Yurou Zhou, Qiuhua Wu, Xiangyu Mao, Qiong Yan, Rynson W. H. Lau:
Is a Green Screen Really Necessary for Real-Time Portrait Matting? CoRR abs/2011.11961 (2020)
2010 – 2019
- 2018
- [c1]Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia:
Referring Image Segmentation via Recurrent Refinement Networks. CVPR 2018: 5745-5753
Coauthor Index
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