My general research interests are computer vision and machine learning. Specifically, I'm interested in the representation, processing, and simulation of 3D data/models and their applications in 3D perception and AR/VR.
The following is a list of my completed and on-going research projects in chronological order.
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection Shichao Li, Peiliang Li, Qing Lian, Peng Yun and Xiaozhi Chen
IEEE International Conference on Robotics and Automation (ICRA)
, 2025
Code / Paper (Coming soon)
A study of 3D multiple-object-tracking for crowded pedestrians with LiDAR and multi-view cameras.
Mobile facial image analysis and augmented reality system, 2017
I developed a real-time App on Andriod platform that can perform face detection, 3D faical landmark detection, head pose estimation and simple graphics rendering. The facial landmarks were detected by a cascade of random forest with pixel-difference feature. This project does not use deep learning. It was 100% C++/Java and 0% PyTorch. :)
An object shape estimation system based on coherent light, 2016
This was an interferometry course project. A standard Michelson interferometer structure was adopted, light reflected from the unknown surface interferes with light reflected from a known surface.
An object shape estimation system based on coherent light, 2016
By moving the known surface thus changing the light path, a sequence of interference pictures were captured. This process records the surface shape in the sequence. The surface shape was recovered in the demodulation process.
An electric guitar with laser string, 2015
This was a simple micro-controller course project. Strings are made by laser diodes and photondetectors. Chord can be chosen by different buttons on this guitar. The system consists of C8051F020 (core), 74LS00 (logic), and LM386 (audio power amplifier). C8051F020 responds to user inputs and plays music stored in a SD card.
Service
Teaching Assistant
COMP 4901J (Deep Learning for Computer Vision), Fall 2018
Lecturer: Professor Chi-Keung Tang
MSBD 6000G (Deep Learning for Computer Vision), Spring 2018
Lecturer: Professor Chi-Keung Tang
COMP 1021 (Introduction to Computer Science), Spring 2019
Lecturer: Professor David Rossitor
Journal Reviewer
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
International Journal of Computer Vision
Computer Vision and Image Understanding