He, Yue

22 publications

CVPR 2025 COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models Under Distribution Shifts Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui

NeurIPS 2025 Environment Inference for Learning Generalizable Dynamical System Shixuan Liu, Yue He, Haotian Wang, Wenjing Yang, Yunfei Wang, Peng Cui, Zhong Liu

ICCV 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction Han Yu, Kehan Li, Dongbai Li, Yue He, Xingxuan Zhang, Peng Cui

ICML 2024 Domain-Wise Data Acquisition to Improve Performance Under Distribution Shift Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui

AAAI 2024 Full Bayesian Significance Testing for Neural Networks Zehua Liu, Zimeng Li, Jingyuan Wang, Yue He

IJCAI 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting Zehua Liu, Jingyuan Wang, Zimeng Li, Yue He

CVPR 2024 Rethinking the Evaluation Protocol of Domain Generalization Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui

ICCV 2023 CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision Shuo Li, Yue He, Weiming Zhang, Wei Zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang

AAAI 2023 Covariate-Shift Generalization via Random Sample Weighting Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui

ICCV 2023 MAP: Towards Balanced Generalization of IID and OOD Through Model-Agnostic Adapters Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang

CVPR 2023 NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui

AAAI 2023 Stable Learning via Sparse Variable Independence Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang

AAAI 2023 TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang

ECCVW 2022 NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui

CVPR 2022 StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao

AAAI 2022 Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du

CVPRW 2021 A Robust MTMC Tracking System for AI-City Challenge 2021 Jin Ye, Xipeng Yang, Shuai Kang, Yue He, Weiming Zhang, Leping Huang, Minyue Jiang, Wei Zhang, Yifeng Shi, Meng Xia, Xiao Tan

CVPR 2021 Deep Stable Learning for Out-of-Distribution Generalization Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen

CVPRW 2021 Good Practices and a Strong Baseline for Traffic Anomaly Detection Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen

NeurIPS 2020 Counterfactual Prediction for Bundle Treatment Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

AAAI 2018 Merge or Not? Learning to Group Faces via Imitation Learning Yue He, Kaidi Cao, Cheng Li, Chen Change Loy

IJCAI 2018 Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu