Yixin Zhu

I am a postdoctoral scholar in Prof. Song-Chun Zhu's VCLA lab at UCLA.

My primary research interests focus on functional object and scene understanding, spanning in the fields of computer vision, computer graphics, robotics, artificial intelligence, virtual reality and cognitive science.

In particular, my ongoing work integrates high-level cues (e.g. functionality, physics, causality) into computer vision to enable richer representations and deeper understandings. I am a co-organizer of Vision Meets Cognition (FPIC) workshops, 3D Scene Understanding for Vision, Graphics, and Robotics workshops, and Virtual Reality Meets Physical Reality workshops.

My work is currently supported by DARPA XAI grant N66001-17-2-4029 and ONR MURI grant N00014-16-1-2007.

[CV] [Google Scholar] [Dissertation]
[VCLA Project Lists]

News

2019-03

Our 1st CVPR 3D Scene Understanding for Vision, Graphics, and Robotics Workshop will be held on June 17 in Long Beach, California.
2019-03

One paper has been accepted by CVPR 2019.
2019-02

Two papers have been accepted by ICRA 2019.
2018-11

Two papers have been accepted by AAAI 2019.
2018-09

One paper has been accepted by NeurIPS 2018.
2018-07

One paper has been accepted by ECCV 2018.
2018-06

Our 4th CVPR FPIC Workshop will be held on June 18 in Salt Lake City, Utah.
2018-06

I gave an invited talk at the CVPR Workshop on Visual Understanding of Humans in Crowd Scene.
2018-05

One paper has been accepted by IJCV.
2018-04

One paper has been accepted by CogSci 2018.
2018-03

One paper has been accepted by SIGGRAPH 2018, featured in the Technical Paper Trailer.
2018-02

One paper has been accepted by CVPR 2018.
2018-01

Two papers have been accepted by ICRA 2018.
2018-01

I'll serve as the webmaster in the coming CVPR 2019.
2018-01

One paper has been accepted by IEEE VR 2018.

Cross-lab Collaborations

Chenfanfu Jiang, UPenn Computer Graphics Group

Demetri Terzopoulos, UCLA Computer Graphics & Vision Laboratory

Hongjing Lu, UCLA Computational Vision and Learning Lab (CVL)

James Kubricht, GE Research

Ying Nian Wu, UCLA Department of Statistics

Tao Gao, UCLA Department of Statistics and Communication Studies

Jiajun Wu, MIT

Wei Liang, Beijing Institute of Technology

Brandon Rothrock, Jet Propulsion Laboratory

Yibiao Zhao, iSee.ai

Lap-Fai (Craig) Yu, George Mason University

Tianfu Wu, NC State University (NCSU)

Eric Peltola and Veronica Santos, UCLA Biomechatronics Lab

VCLA Collaborations

Siyuan Huang and Siyuan Qi on Scene Parsing and Synthesis.

Xu Xie on Virtual Reality.

Mark Edmonds on Causal Learning.

Feng Gao, Chi Zhang and Siyuan Qi on Reinforcement Learning.

Hangxing Liu and Zeyu Zhang on Robotics.

Yuxing Qiu on Physics-based Simulation.

Students Mentored

Xiaolin Fang, Ph.D., CSAIL, MIT, 2019 Fall

Shu Wang, Ph.D., Statistics, UCLA, 2018 Fall

Wenwen Si, Master, Computer Vision, CMU, 2018 Fall

Hangxin Liu, Ph.D., Computer Science, UCLA, 2018 Spring

Jenny Lin, Ph.D., Computer Science, CMU, 2017 Fall

Mark Edmonds, Ph.D., Computer Science, UCLA, 2017 Fall

Tian Ye, Master, Robotics, CMU, 2017 Fall

Feng Gao, Master, Statistics, UCLA, 2017 Fall

Xu Xie, Master, Statistics, UCLA, 2017 Fall

Xingwen Guo, Master, Computer Science, Yale, 2017 Fall

Chi Zhang, Master, Computer Science, UCLA, 2017 Fall

Jingyu Shao, Master, Statistics, UCLA, 2016 Winter

Yutong Zhang, Master in Computer Science, UCLA, 2015 Fall

Scholarships & Awards

2018.11

NVidia GPU Donation Program for Researchers
2018.06

Outstanding Statistician Award, UCLA Statistics Department
2013.06-2018.03

Graduate Research Assistant @ VCLA
2018.03

RAS Travel Grant, ICRA
2017.07

Doctoral Student Travel Grants, UCLA
2017.07

Doctoral Student Travel Grants, UCLA Statistics Department
2017.06

CVPR 2017 Outstanding Reviewer
2015-2018

UCLA University Fellowship
2014.08

NVidia CUDA Hardware Donation Program for Researchers
2011.07

Google Scholarship
2011.07

UCLA-CSST Scholarship
2010.12

Samsung Scholarship