Jianfei Guo

jianfeiguo.jpg

Jianfei Guo (郭 建非)

[Current position to be updated soon]

My current focus is on building next-gen simulation systems for autonomous vehicles, robots, and more, while also pushing the boundaries of research in neural rendering, neural reconstruction, and neural graphics.

Previously, I was a research engineer at Shanghai AI Lab’s ADLab, where I initiated the 3DNR team, built the open-source project neuralsim from scratch, and conducted research related to multi-view implicit surface reconstruction and efficient large-scale/generative neural scene representations. Prior to that, I was a research intern at Huawei for two years, where I gradually shifted my interests from embedded systems to machine learning. I received my banchelor’s degree at Xi’an Jiaotong University from the elite class named after Tsien Hsue-Shen (钱学森班).

My life goal is to make AI that trully understands ours 3D world and its rich scientific laws, and let AI aid us human race to think, to innovate, to research and to create, and boost mankind’s voyage to the wide sea of stars someday.

Contact: ffventus [at] gmail.com

news

Jul 6, 2021 Joining Shanghai AI Lab as a researcher! :sparkles: :smile:
Jul 2, 2021 Graduated from Xi’an Jiaotong University.
Sep 4, 2018 Joining 2012 Lab., Huawei Technologies Co., Ltd. as an intern!

selected publications

  1. arXiv
    ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
    Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, and  others
    arXiv preprint arXiv:2309.05527, 2023
  2. arXiv
    StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views
    Jianfei GuoNianchen DengXinyang LiYeqi Bai, Botian Shi, Chiyu Wang, Chenjing Ding, Dongliang Wang, and Yikang Li
    arXiv preprint arXiv:2306.04988, 2023
  3. ECCV
    L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing
    Ziyu Chen, Chenjing Ding, Jianfei GuoDongliang WangYikang Li, Xuan Xiao, Wei Wu, and Li Song
    In Proc. European Conference on Computer Vision (ECCV), 2022
  4. arXiv
    Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images
    Jianfei Guo, Zhiyuan Yang, Xi Lin, and Qingfu Zhang
    arXiv preprint arXiv:2111.04237, 2021