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.

I did research about 2D Object Detection and 3D Object Detection (4 paper accepted) before. I did research about Multimodal Large Language Model (1 paper under review) recently. Now I focus and Text-to-Image/Video Model.

I am expected to graduate in 2025, and I am actively looking for full-time jobs on Text-to-Image/Video Model(1st choice) or Multimodal Large Language Model(2nd choice).

Experience

Research Intern, 3D Object Detection, Megvii Inc, 2023.04-2024.01

Research Intern, Video Generation, Alibaba TongYi Vision Intelligence Lab, 2024.07-

Publications & Preprints

(* Equal Contribution)

	Yuzhong Zhao*, Feng Liu*, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution arXiv [Paper] [Code]
	Feng Liu, Tengteng Huang, Qianjing Zhang, Haotian Yao, Chi Zhang, Fang Wan, Qixiang Ye, Yanzhao Zhou Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection 2024 European Conference on Computer Vision (ECCV 2024) [Paper] [Code]
	Feng Liu*, Xiaosong Zhang*, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection 2023 IEEE/CVF International Conference on Computer Vision (ICCV 2023) [Paper] [Code]
	Feng Liu, Xiaosong Zhang, Fang Wan, Xiangyang Ji, Qixiang Ye Domain Contrast for Domain Adaptive Object Detection 2021 IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT 2021) [Paper] [Code]
	Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) [Paper] [Code]

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