Zeren Yu

I am a master student major in Computer Science at
University of Southern California, Los Angeles.
I recieved my Bachelor of Science Degree in
Computer Science and Data Science
from University of Michigan, supervised by Prof. Odest Chadwicke Jenkins

My research interests lie in 3D vision, robotics manipulation and machine learning.

Google Scholar  /  Github

[07/2022] Our work on Clearpose was accepted by ECCV2022!

[06/2022] Our work on Progresslabeller was accepted by IROS2022!

We collect a large-scale transparent object dataset with RGB-D and annotated poses. And we benchmark transparent object depth completion and poes estimation on this dataset.

ProgressLabeller is an efficient 6D pose annotation method. It is also the first open source tools compatible with transparent object. It is implemented as a blender Add-on, more user-friendly for using.

This Project integrated Computer Vision, forward kinematic, Q-learning and Arduino

This project used object detection neural network and kalman filter to address Multiple Object Tracking problem

This website has been inspired by Jon Barron.