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Kaican Li
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 14
Top Topics
Alpha Matting
Poor Quality
Autonomous Driving
Grand Challenge
Top Venues
CoRR
AAAI
ECCV (13)
ECCV (38)
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Publications
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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)
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
(2023)
Han Gao
,
Kaican Li
,
Yongxiang Huang
,
Luning Wang
,
Caleb Chen Cao
,
Nevin L. Zhang
Contrastive Domain Generalization via Logit Attribution Matching.
CoRR
(2023)
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
(2023)
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)
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)
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)
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
(2022)
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
(2022)
Zhanghan Ke
,
Jiayu Sun
,
Kaican Li
,
Qiong Yan
,
Rynson W. H. Lau
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition.
AAAI
(2022)
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
(2021)
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
(2020)
Zhanghan Ke
,
Di Qiu
,
Kaican Li
,
Qiong Yan
,
Rynson W. H. Lau
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning.
CoRR
(2020)
Zhanghan Ke
,
Di Qiu
,
Kaican Li
,
Qiong Yan
,
Rynson W. H. Lau
Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning.
ECCV (13)
(2020)