Kaican Li

According to our database, Kaican Li authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models.

Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang

CoRR, 2024

2023

Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.

Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang

CoRR, 2023

A Causal Framework to Unify Common Domain Generalization Approaches.

Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang

CoRR, 2023

Contrastive Domain Generalization via Logit Attribution Matching.

Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang

CoRR, 2023

Certifiable Out-of-Distribution Generalization.

Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.

Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.

Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition.

Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.

Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li

CoRR, 2021

2020

Is a Green Screen Really Necessary for Real-Time Portrait Matting?

Zhanghan Ke, Kaican Li, Yurou Zhou, Qiuhua Wu, Xiangyu Mao, Qiong Yan, Rynson W. H. Lau

CoRR, 2020

Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning.

Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Referring Image Segmentation via Recurrent Refinement Networks.

Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018