Zhizhong Li

14 papers · 2015–2025 · 6 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🐝 Cross-Pollinator (8) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)

🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (10) 🧬 Topic Evolution 💎 Century Club (14) 🗃️ Keyword Collector (100) 🔥 Unstoppable (7) 📈 Trend Setter

Conferences

CVPR (8) ICCV (2) ICML (1) IJCAI (1) NIPS (1) WACV (1)

Top co-authors

Dahua Lin (4) Derek Hoiem (4) Stefano Soatto (2) Haoqi Wang (2) Wayne Zhang (2) Hao Yang (1) Tanmay Gupta (1) Michal Shlapentokh-Rothman (1) Ashwin Swaminathan (1) C. J. Taylor (1)

Research topics

Reinforcement Learning (1)

Keywords

out-of-distribution detection (2) continual learning (2) model compression (2) riemannian optimization (2) transfer learning (1) benchmark evaluation (1) semantic segmentation (1) image synthesis (1) network architecture (1) probabilistic modeling (1) model selection (1) domain adaptation (1) ensemble learning (1) knowledge distillation (1) supervised learning (1) data augmentation (1) depth estimation (1) confidence calibration (1) multi-task learning (1) reinforcement learning (1)

Papers

Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025 THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models CVPR 2024 Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation ICCV 2023 Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022 ViM: Out-of-Distribution With Virtual-Logit Matching CVPR 2022 Task-Assisted Domain Adaptation With Anchor Tasks WACV 2021 Learning Curves for Analysis of Deep Networks ICML 2021 Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion CVPR 2020 Improving Confidence Estimates for Unfamiliar Examples CVPR 2020 Convolutional Sequence Generation for Skeleton-Based Action Synthesis ICCV 2019 Policy Continuation with Hindsight Inverse Dynamics NIPS 2019 PolyNet: A Pursuit of Structural Diversity in Very Deep Networks CVPR 2017 Integrating Specialized Classifiers Based on Continuous Time Markov Chain IJCAI 2017 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm CVPR 2015