Weng Fei Low永辉


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Hi :wave:! I’m from Kuala Lumpur, Malaysia :malaysia:. I’m currently a 3rd-year Ph.D. student working under the supervision of Assoc. Prof. Gim Hee Lee at the Institute of Data Science, National University of Singapore. I obtained my B.Eng. (Hons.) degree :mortar_board: in Computer Engineering from National University of Singapore in 2020.

In general, I’m interested in the research and development of intelligent robots :robot:. I firmly believe that their introduction will immensely improve the quality of our everyday lives, especially through the automation of mundane, repetitive and laborious tasks.

My current research focuses on the aspect of perception, particularly vision :eyes:. I hope to progress towards complete scene understanding, and ultimately human-level semantic understanding of the world :earth_asia:.

My areas of interest include scene representation, reconstruction, localization & understanding, as well as 3D computer vision in general.

I am open to collaborating with people who share the same passion :fire:. In particular for NUS master’s / undergraduate students, do drop me an email if you are interested to work with me and my supervisor for your dissertation / UROP.

news

Jan 9, 2024 I received the Research Achievement Award from NUS School of Computing
Jul 18, 2023 A paper on robust NeRF recontruction with moving event cameras accepted at ICCV 2023
Jan 31, 2023 A US patent on sound source classification and localization granted
Dec 2, 2022 I received the Student Research Achievement Award from NUS IDS
Jul 4, 2022 A paper on explicit neural surface representation accepted at ECCV 2022

publications

  1. Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
    Zhiwen Yan,  Weng Fei Low, Yu Chen, and Gim Hee Lee
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
  2. Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion
    Weng Fei Low, and Gim Hee Lee
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023
  3. Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion
    Weng Fei Low, and Gim Hee Lee
    In European Conference on Computer Vision (ECCV) 2022
  4. SOFEA: A Non-Iterative and Robust Optical Flow Estimation Algorithm for Dynamic Vision Sensors
    Weng Fei Low, Zhi Gao, Cheng Xiang, and Bharath Ramesh
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2020

patents

  1. Using Classified Sounds and Localized Sound Sources to Operate an Autonomous Vehicle
    Metarsit Leenayongwut, and Weng Fei Low
    US Patent 11,567,510 Granted in 2023

teaching assistants

CS5340: Uncertainty Modelling in AI AY2022/23 Semester 1
CS4277/CS5477: 3D Computer Vision AY2021/22 Semester 2

awards

NUS School of Computing Research Achievement Award Jan 2024
NUS IDS Student Research Achievement Award Dec 2022
NUS PhD (Data Science) Scholarship Oct 2020
IEEE Singapore Computer Society Prize (Best Bachelor's Dissertation) Jun 2020
Maritime RobotX Challenge — 1st Place Dec 2018
RoboSub Competition — 2nd Place Aug 2018
NUS Dean's List 2018 - 2020
ASEAN Undergraduate Scholarship Mar 2016