Feng Liu  

Biography

I am a Ph.D. candidate in LAMP (Learning And Machine Perception Laboratory) in the University of Chinese Academy of Sciences, advised by Prof. Fang Wan and Prof. Qixiang Ye. I earned a B.E. from the Harbin Institute of Technology, Shenzhen in June 2020.

My research interests revolve around Visual Perception, Visual Generation and Multi-modal Understanding.

I am expected to graduate in 2025, and I am actively looking for full-time jobs related to the above topics.

Experience

	Research Intern, MEGVII Topic: 3D Object Detection Supervised by: Tengteng Huang
	Research Intern, Tongyi Wan Team, Alibaba Group Topic: Video Generation Supervised by: Shiwei Zhang

Publications & Preprints

(* Equal Contribution)

	Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Feng Liu, Shiwei Zhang, Xiaofeng Wang, Yujie Wei, Haonan Qiu, Yuzhong Zhao, Yingya Zhang, Qixiang Ye, Fang Wan 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025 Highlight) [Paper] [Project] [Code]
	DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution Yuzhong Zhao*, Feng Liu*, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025) [Paper] [Code]
	Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection Feng Liu, Tengteng Huang, Qianjing Zhang, Haotian Yao, Chi Zhang, Fang Wan, Qixiang Ye, Yanzhao Zhou 2024 European Conference on Computer Vision (ECCV 2024) [Paper] [Code]
	Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection Feng Liu*, Xiaosong Zhang*, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye 2023 IEEE/CVF International Conference on Computer Vision (ICCV 2023) [Paper] [Code]
	Domain Contrast for Domain Adaptive Object Detection Feng Liu, Xiaosong Zhang, Fang Wan, Xiangyang Ji, Qixiang Ye 2021 IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT 2021) [Paper] [Code]
	Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) [Paper] [Code]
	EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Xiaofeng Wang, Kang Zhao, Feng Liu, Jiayu Wang, Guosheng Zhao, Xiaoyi Bao, Zheng Zhu, Yingya Zhang, Xingang Wang arXiv, 2024 [Paper] [Project] [Data]
	DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control Yujie Wei, Shiwei Zhang, Hangjie Yuan, Xiang Wang, Haonan Qiu, Rui Zhao, Yutong Feng, Feng Liu, Zhizhong Huang, Jiaxin Ye, Yingya Zhang, Hongming Shan arXiv, 2024 [Paper] [Project]

Statistics