Yuanhan Zhang

According to our database, Yuanhan Zhang authored at least 20 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

VBench: Comprehensive Benchmark Suite for Video Generative Models.

Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, Yaohui Wang, Xinyuan Chen, Limin Wang, Dahua Lin, Yu Qiao, Ziwei Liu

CoRR, 2023

OtterHD: A High-Resolution Multi-modality Model.

Bo Li, Peiyuan Zhang, Jingkang Yang, Yuanhan Zhang, Fanyi Pu, Ziwei Liu

CoRR, 2023

Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images.

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

CoRR, 2023

Octopus: Embodied Vision-Language Programmer from Environmental Feedback.

Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Chencheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

CoRR, 2023

MMBench: Is Your Multi-modal Model an All-around Player?

Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin

CoRR, 2023

FunQA: Towards Surprising Video Comprehension.

Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu

CoRR, 2023

MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Jingkang Yang, Chunyuan Li, Ziwei Liu

CoRR, 2023

Learning without Forgetting for Vision-Language Models.

Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu

CoRR, 2023

Latent Distribution Adjusting for Face Anti-Spoofing.

Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao

CoRR, 2023

Otter: A Multi-Modal Model with In-Context Instruction Tuning.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Jingkang Yang, Ziwei Liu

CoRR, 2023

What Makes Good Examples for Visual In-Context Learning?

Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

3D Point Cloud Pre-training with Knowledge Distillation from 2D Images.

Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang

CoRR, 2022

On-Device Domain Generalization.

Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang, Jingkang Yang, Chen Change Loy, Ziwei Liu

CoRR, 2022

Neural Prompt Search.

Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

CoRR, 2022

Robust Face Anti-Spoofing with Dual Probabilistic Modeling.

Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu

CoRR, 2022

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

CoRR, 2022

Benchmarking Omni-Vision Representation Through the Lens of Visual Realms.

Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results.

Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao

CoRR, 2021

2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Makeup based on segmentation and local transfer.

Yuanhan Zhang, Haidong Cui, Yidong Li, Zheng Feng

Proceedings of the 6th International Conference on Behavioral, 2019