I obtained my Bachelor's degree from Naitional University of Singapore. After graduation, I joined the NUS UAV Research Group and worked at Temasek Laboratories for two years. Before undergrad, I attended SJZ No.2 Middle School.
The full list of my publications is in Google Scholar, ResearchGate, dblp, OpenReview, and 百度学术. My professional profile is in LinkedIn. Here's my Resume. My English name is Sean.
For the extracurricular activities, I enjoy writing in my spare time, eg. A Mystery Trip in the US is published in the Chinese Mystery Magazine, more writings in blog. I was also a member of the NUS Chinese Debate Team (新国大中文辩论队) for four years during my undergraduate program.
July 22, 2021 Our paper ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoidand Signed Distance Function Description is accepted by ICCV 2021 for a poster presentation!
June 14, 2021 I will be a Research Intern at FRL Research Surreal.
December 04, 2020 I will be a TA for ECE 276A: Sensing & Estimation in Robotics for Winter Quarter, 2021, from January 4, 2021, to March 23, 2021.
November 08, 2020 Our work on OrcVIO is featured in IROS 2020: Autonomous mail delivery, robots practicing bartending, and more.
October 15, 2020 I presented OrcVIO: Object residual constrained Visual-Inertial Odometry at the Pre-IROS 2020 online sharing event, here is the presentation.
June 30, 2020 Our paper OrcVIO: Object residual constrained Visual-Inertial Odometry is accepted by IROS 2020 for an Oral presentation!
April 9, 2020 My test run of MSCKF using VIO sensor INDEMIND is featured in INDEMIND official account
April 16, 2019 Our work on keypoint detection is accepted at 2019 SoCal Robotics Symposium
September 30, 2018 My research is featured in UCSD ECE Brochure 18-19
July 15, 2018 I helped conduct a case study featuring our lab for using cloud computing with GPUs Training Deep Models for UAVs
July 16, 2017 Our paper A spatiotemporal model with visual attention for video classification is presented at RSS 2017 Workshop on Articulated Model Tracking