Wang, Xudong

29 publications

AAAI 2025 DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent Dingbo Yuan, Yipeng Chen, Guodong Liu, Chenchen Li, Chengfu Tang, Dongxu Zhang, Zhenkui Wang, Xudong Wang, Song Liu

IJCAI 2025 Explainable Graph Representation Learning via Graph Pattern Analysis Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan

TMLR 2025 Rethinking Patch Dependence for Masked Autoencoders Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg

ICLR 2025 SegLLM: Multi-Round Reasoning Segmentation with Large Language Models XuDong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell

ICML 2025 Simplifying DINO via Coding Rate Regularization Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma

CVPR 2025 Visual Lexicon: Rich Image Features in Language Space XuDong Wang, Xingyi Zhou, Alireza Fathi, Trevor Darrell, Cordelia Schmid

ECML-PKDD 2024 A Merge Sort Based Ranking System for the Evaluation of Large Language Models Chenchen Li, Linfeng Shi, Chunyi Zhou, Zhaoxin Huan, Chengfu Tang, Xiaolu Zhang, Xudong Wang, Jun Zhou, Song Liu

AAAI 2024 Federated Label-Noise Learning with Local Diversity Product Regularization Xiaochen Zhou, Xudong Wang

CVPR 2024 InstanceDiffusion: Instance-Level Control for Image Generation Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra

ICML 2024 Learning Graph Representation via Graph Entropy Maximization Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan

WACV 2024 Painterly Image Harmonization via Adversarial Residual Learning Xudong Wang, Li Niu, Junyan Cao, Yan Hong, Liqing Zhang

NeurIPSW 2024 Rethinking Patch Dependence for Masked Autoencoders Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg

CVPR 2024 See Say and Segment: Teaching LMMs to Overcome False Premises Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell

NeurIPS 2024 Segment Anything Without Supervision XuDong Wang, Jingfeng Yang, Trevor Darrell

ECCV 2024 TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing Xudong Wang, Ke-Yue Zhang, Taiping Yao, Qianyu Zhou, Shouhong Ding, Pingyang Dai, Rongrong Ji

CVPR 2024 Unsupervised Universal Image Segmentation Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell

CVPR 2024 VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell

CVPR 2023 Cut and Learn for Unsupervised Object Detection and Instance Segmentation Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra

NeurIPS 2023 Hierarchical Open-Vocabulary Universal Image Segmentation Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell

ICCV 2023 SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang

JAIR 2022 C-Face: Using Compare Face on Face Hallucination for Low-Resolution Face Recognition Feng Han, Xudong Wang, Furao Shen, Jian Zhao

CVPR 2022 Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu

CVPR 2022 Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

CVPR 2022 Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu

ECCV 2022 Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang, Long Lian, Stella X. Yu

ICLR 2021 Long-Tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella Yu

AAAI 2021 Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters Xudong Wang, Stella X. Yu

CVPR 2021 Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination Xudong Wang, Ziwei Liu, Stella X. Yu

CVPR 2021 Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang, Long Lian, Stella X. Yu