Xudong Wang - RankMe

49 papers A* 18Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents. CoRR Zirui Wang, Junyi Zhang, Jiaxin Ge, Long Lian, Letian Fu, Lisa Dunlap, Ken Goldberg, Xudong Wang, Ion Stoica, David M. Chan, Sewon Min, Joseph E. Gonzalez
2025	J	`jnl`	Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens. CoRR Yiming Qin, Bomin Wei, Jiaxin Ge, Konstantinos Kallidromitis, Stephanie Fu, Trevor Darrell, Xudong Wang
2025	J	`jnl`	Constantly Improving Image Models Need Constantly Improving Benchmarks. CoRR Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, Xudong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan
2025	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. Trans. Mach. Learn. Res. Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2025	A*	`conf`	SegLLM: Multi-round Reasoning Segmentation with Large Language Models. ICLR Xudong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2025	—	`conf`	TULIP: Contrastive Image-Text Learning with Richer Vision Understanding. ICCVW Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	TULIP: Towards Unified Language-Image Pretraining. CoRR Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	Toward Diffusible High-Dimensional Latent Spaces: A Frequency Perspective. CoRR Bolin Lai, Xudong Wang, Saketh Rambhatla, James M. Rehg, Zsolt Kira, Rohit Girdhar, Ishan Misra
2025	A*	`conf`	Visual Lexicon: Rich Image Features in Language Space. CVPR Xudong Wang, Xingyi Zhou, Alireza Fathi, Trevor Darrell, Cordelia Schmid
2025	J	`jnl`	Visually Prompted Benchmarks Are Surprisingly Fragile. CoRR Haiwen Feng, Long Lian, Lisa Dunlap, Jiahao Shu, Xudong Wang, Renhao Wang, Trevor Darrell, Alane Suhr, Angjoo Kanazawa
2024	A*	`conf`	InstanceDiffusion: Instance-Level Control for Image Generation. CVPR Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra
2024	J	`jnl`	InstanceDiffusion: Instance-level Control for Image Generation. CoRR Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra
2024	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. CoRR Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2024	A*	`conf`	See, Say, and Segment: Teaching LMMs to Overcome False Premises. CVPR Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell
2024	J	`jnl`	SegLLM: Multi-round Reasoning Segmentation. CoRR Xudong Wang, Shaolun Zhang, Shufan Li, Konstantinos Kallidromitis, Kehan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2024	A*	`conf`	Segment Anything without Supervision. NeurIPS Xudong Wang, Jingfeng Yang, Trevor Darrell
2024	J	`jnl`	Segment Anything without Supervision. CoRR Xudong Wang, Jingfeng Yang, Trevor Darrell
2024	A*	`conf`	Unsupervised Universal Image Segmentation. CVPR Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell
2024	A*	`conf`	VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. CVPR Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell
2024	J	`jnl`	Visual Lexicon: Rich Image Features in Language Space. CoRR Xudong Wang, Xingyi Zhou, Alireza Fathi, Trevor Darrell, Cordelia Schmid
2023	A*	`conf`	Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CVPR Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra
2023	J	`jnl`	Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CoRR Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra
2023	J	`jnl`	Debiased Learning for Remote Sensing Data. CoRR Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu, Charles Hill, Zackery Steck, Scott Kangas, Aaron A. Reite
2023	A*	`conf`	Hierarchical Open-vocabulary Universal Image Segmentation. NeurIPS Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2023	J	`jnl`	Hierarchical Open-vocabulary Universal Image Segmentation. CoRR Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
2023	J	`jnl`	See, Say, and Segment: Teaching LMMs to Overcome False Premises. CoRR Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell
2023	J	`jnl`	Unsupervised Universal Image Segmentation. CoRR Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell
2023	J	`jnl`	VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. CoRR Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell
2022	A*	`conf`	Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2022	J	`jnl`	Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. CoRR Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
2022	A*	`conf`	Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
2022	A*	`conf`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CVPR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2022	J	`jnl`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2022	—	`conf`	Unsupervised Selective Labeling for More Effective Semi-supervised Learning. ECCV (30) Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	Data-Centric Semi-Supervised Learning. CoRR Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	Free Hyperbolic Neural Networks with Limited Radii. CoRR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2021	A*	`conf`	Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. ICLR Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
2021	A*	`conf`	Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. AAAI Xudong Wang, Stella X. Yu
2021	A*	`conf`	Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. CVPR Xudong Wang, Ziwei Liu, Stella X. Yu
2021	A*	`conf`	Unsupervised Visual Attention and Invariance for Reinforcement Learning. CVPR Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	Unsupervised Visual Attention and Invariance for Reinforcement Learning. CoRR Xudong Wang, Long Lian, Stella X. Yu
2020	J	`jnl`	Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. CoRR Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
2020	J	`jnl`	Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. CoRR Xudong Wang, Stella X. Yu
2020	J	`jnl`	Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. CoRR Xudong Wang, Ziwei Liu, Stella X. Yu
2020	J	`jnl`	Volumetric Attention for 3D Medical Image Segmentation and Detection. CoRR Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos
2019	A*	`conf`	Towards Universal Object Detection by Domain Attention. CVPR Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
2019	J	`jnl`	Towards Universal Object Detection by Domain Attention. CoRR Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
2019	—	`conf`	Volumetric Attention for 3D Medical Image Segmentation and Detection. MICCAI (6) Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos
2018	A*	`conf`	Feature Space Transfer for Data Augmentation. CVPR Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos