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Knowledge augmented instruction tuning for zero-shot animal species recognition Zalan Fabian,Zhongqi Miao,Chunyuan Li,Yuanhan Zhang,Ziwei Liu,Andrés Hernández,Andrés Montes-Rojas,Rafael Escucha,Laura Siabatto, Andrés Link, Pablo Arbeláez,Rahul Dodhia, Juan Lavista Ferres Instruction Tuning and Instruction Following Workshop@NeurIPS 2023. PDF A knowledge augmented vision-language model for AI conservation. |
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What Makes Good Examples for Visual In-Context Learning? Yuanhan Zhang,Kaiyang Zhou, Ziwei Liu NeurIPS, 2023 PDF / Code  Retrieving prompt for visual in-context learning. |
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Learning without Forgetting for Vision-Language Models Da-Wei Zhou,Yuanhan Zhang;Yan Wang,Jingyi Ning,Han-Jia Ye,De-Chuan Zhan,Ziwei Liu TPAMI PDF / Code  Learning without Forgetting for Vision-Language Models. |
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Neural Prompt Search Yuanhan Zhang,Kaiyang Zhou, Ziwei Liu TPAMI PDF / Project Page / Code  Searching prompt modules for parameter-efficient transfer learning. |
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3D Point Cloud Pre-training with Knowledge Distillation from 2D Images? Yuan Yao,Yuanhan Zhang,Zhenfei Yin, Jiebo Luo,Wanli Ouyang,Xiaoshui Huang. ICME, 2023 PDF / Code 3D Point Cloud Pre-training with Knowledge Distillation from 2D Images. |
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Benchmarking Omni-Vision Representation through the Lens of Visual Realms Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu ECCV, 2022 PDF / Project Page / Leaderboard / Challenge:ImageNet1k-Pretrain Track / Challenge:Open-Pretrain Track /Dataset and Code  New benchmark for evaluating vision foundation models; New supervised contrastive learning framework. |
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Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy Yuanhan Zhang, Qinghong Sun, Yichun Zhou, Zexin He, Zhenfei Yin, Kun Wang,Lu Sheng, Yu Qiao,Jing Shao, Ziwei Liu IJCV, 2025 PDF / Project Page / Demo /Code  4 times larger than ImageNet; 2 time larger than Object365; Built by active learning. |
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CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations Yuanhan Zhang, Zhenfei Yin,Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu ECCV, 2020 PDF /Dataset /Demo /Code  Large-scale face-antispoofing Dataset. |
Fully open-sourced video LMM model with competitive ability, including code, model, and data.
A vision-language model with in-context instruction tuning.
Benchmarking the 20 abilities of vision-language models.
An embodied vision-language model trained with RLEF, emerging superior in embodied visual planning and programming.
FunQA benchmarks funny, creative, and magic videos for challenging tasks.