Fangjian Lin

林方坚

Education

Bachelor: North China Electric Power University, 2016-2020
Master: Xinjiang University, 2020-2023

CV Research Internships

Baidu Research (IDL), 2020.12-2021.12
Shanghai AI Laboratory (OpenMMLab), 2021.12-2022.07
Alibaba Group (AI-Earth), 2022.07-2023.03
NIO, 2023.06-now

Email: linfangjian01@gmail.com


Biography

I graduated from North China Electric Power University for my undergraduate degree and Xinjiang University for my master's degree (2016-2023). I have conducted research internships at Baidu Research, Shanghai AI Lab and Alibaba Group. Since June 2023, I have been working as an Algorithm Engineer at NIO.

My research interests lie in the field of autonomous driving and artificial intelligence. Specifically, I focus on: 1) autonomous driving perception tasks including OD、TSR、TLD; 2) Vision-Language Models (VLM) and their applications; 3) Retrieval-Augmented Generation (RAG) and AI Agents.

News

Publications [Google Scholar]

Reviewer for: IEEE TCSVT, ACM MM, ACCV, ICASSP.

*: Equal contributions.

2023

  • UniNeXt: Exploring A Unified Architecture for Vision Recognition
    Fangjian Lin, Jianlong Yuan, Sitong Wu, Fan Wang, Zhibin Wang
    Proceedings of the 31th ACM International Conference on Multimedia (ACM MM), Accepted, 2023.
    [arXiv]

  • PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation
    Yizhe Ma*, Fangjian Lin*, Sitong Wu, Shengwei Tian, Long Yu.
    IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT).
    [paper]

  • StructToken: Rethinking semantic segmentation with structural prior
    Fangjian Lin, Zhanhao Liang, Sitong Wu, Junjun He, Kai Chen, Shengwei Tian.
    IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT).
    [paper] [arXiv] [code]

  • Exploring vision transformer layer choosing for semantic segmentation
    Fangjian Lin, Yizhe Ma, Shengwei Tian.
    IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), Accepted, 2023.
    [arXiv] [paper]

2022

  • Full-scale Selective Transformer for Semantic Segmentation
    Fangjian Lin, Sitong Wu, Yizhe Ma, Shengwei Tian.
    Proceedings of the Asian Conference on Computer Vision (ACCV).
    [paper] [supp]

  • AxWin Transformer: A Context-Aware Vision Transformer Backbone with Axial Windows
    Fangjian Lin, Yizhe Ma, Sitong Wu, Long Yu, Shengwei Tian
    Arxiv Tech Report, 2022.
    [arXiv]

  • Cross-scale sampling transformer for semantic image segmentation
    Yizhe Ma, Long Yu, Fangjian Lin, Shengwei Tian
    Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2895-2907, 2023
    [paper]

2021

  • Fully transformer networks for semantic image segmentation
    Sitong Wu*, Tianyi Wu*, Fangjian Lin*, Shengwei Tian, Guodong Guo
    Arxiv Tech Report, 2021.
    [arXiv]