I am a Research Scientist at Gaussian Robotics in Singapore. I am currently working on various topics on intelligent robotics, such as visual SLAM related deep learning algoirthms, multi-task learning and efficient deep learning model inference on edge-devices.

I obtained my bachelor’s degree in Computing Science from the University of Glasgow in 2016, after spending 3 wonderful years in Scotland, I also obtained a bachelor’s degree in Eletronics Engineering from Sun Yat-Sen University in the same year.

Prior to joining Gaussian Robotics, I was a research scientist at ByteDance AI Lab, where I worked on 3D computer vision problems and large-scale product retrieval from video sequences. I also spent time at ViSenze and Tuputech, leading various computer vision projects.

Currently, I am interested in 2D / 3D computer vision problems, specifically for perception for autonomous robotics. My goal is to build algorithms that efficiently interact with our physical world.

News

• [07.2022] Our work “A Deep-Learning-based System for Indoor Active Cleaning” has been accepted to IROS 2022.
• [07.2021] Our work “MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis” has been accepted to ICCV 2021.
• [10.2019] I presented our winning solution to the DeepFashion2 cloth retrieval challenge at ICCV in Seoul.

Publications

• A Deep-Learning-based System for Indoor Active Cleaning
  Yike Yun^*, Linjie Hou^*, Zijian Feng^*, Wei Jin, Yang Liu, Chongyang Wang, Ruonan He, Weitao Guo, Bo Han, Baoxing Qin, Jiaxin Li
  International Conference on Intelligent Robots and Systems (IROS), October 2022
  [project page] [paper] [code]

• MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
  Jiaxin Li^*, Zijian Feng^*, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee
  International Conferenceon on Computer Vision (ICCV), October 2021
  [project page] [paper] [code]

Academic Services

• Conference reviewer: ECCV’22, ICRA’22, CVPR’23, ICCV’23
• Journal reviwer: IJCV

Challenges

• 1st place (Winner) in DeepFashion2 Cloth Retrieval Challenge
  ICCV DeepFashion2 Workshop, 2019
  Team Hydra@ViSenze