Li, Zhizhong

13 publications

CVPR 2025 Argus: A Compact and Versatile Foundation Model for Vision Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu

NeurIPS 2025 StelLA: Subspace Learning in Low-Rank Adaptation Using Stiefel Manifold Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu

CVPR 2024 THRONE: An Object-Based Hallucination Benchmark for the Free-Form Generations of Large Vision-Language Models Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto

ICCV 2023 Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation Haoqi Wang, Zhizhong Li, Wayne Zhang

CVPR 2022 Class-Incremental Learning with Strong Pre-Trained Models Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto

CVPR 2022 ViM: Out-of-Distribution with Virtual-Logit Matching Haoqi Wang, Zhizhong Li, Litong Feng, Wayne Zhang

ICML 2021 Learning Curves for Analysis of Deep Networks Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman

WACV 2021 Task-Assisted Domain Adaptation with Anchor Tasks Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem

NeurIPS 2019 Policy Continuation with Hindsight Inverse Dynamics Hao Sun, Zhizhong Li, Xiaotong Liu, Bolei Zhou, Dahua Lin

IJCAI 2017 Integrating Specialized Classifiers Based on Continuous Time Markov Chain Zhizhong Li, Dahua Lin

CVPR 2017 PolyNet: A Pursuit of Structural Diversity in Very Deep Networks Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin

ECCV 2016 Learning Without Forgetting Zhizhong Li, Derek Hoiem

CVPR 2015 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm Zhizhong Li, Deli Zhao, Zhouchen Lin, Edward Y. Chang