Li, Yu-Jhe

11 publications

NeurIPS 2025 Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu

CVPR 2024 Flexible Depth Completion for Sparse and Varying Point Densities Jinhyung Park, Yu-Jhe Li, Kris Kitani

CVPR 2023 Azimuth Super-Resolution for FMCW Radar in Autonomous Driving Yu-Jhe Li, Shawn Hunt, Jinhyung Park, Matthew O’Toole, Kris Kitani

CVPR 2022 Cross-Domain Adaptive Teacher for Object Detection Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda

ECCV 2022 Domain Adaptive Hand Keypoint and Pixel Localization in the Wild Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato

CVPR 2022 Modality-Agnostic Learning for Radar-LiDAR Fusion in Vehicle Detection Yu-Jhe Li, Jinhyung Park, Matthew O'Toole, Kris Kitani

WACV 2021 Learning Shape Representations for Person Re-Identification Under Clothing Change Yu-Jhe Li, Xinshuo Weng, Kris M. Kitani

ICCV 2021 Visio-Temporal Attention for Multi-Camera Multi-Target Association Yu-Jhe Li, Xinshuo Weng, Yan Xu, Kris M. Kitani

CVPR 2021 Wide-Baseline Multi-Camera Calibration Using Person Re-Identification Yan Xu, Yu-Jhe Li, Xinshuo Weng, Kris Kitani

AAAI 2019 Learning Resolution-Invariant Deep Representations for Person Re-Identification Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang

CVPRW 2018 Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang