Wenjie Luo

Department of Compute Science
University of Toronto

Email: wenjie at cs.toronto.edu

About Me

After a few wonderful years, I've left Toronto for new adventures!
I was a Sr Research Scientist at Uber ATG Toronto working on self-driving cars. Specifically, I am interested in deep learning based methods for perception, prediction and planning.
I obtained my Ph.D. from University of Toronto advised by Prof. Raquel Urtasun. I was a member of Machine Learning Group and Vector Institute .
Before coming to Toronto, I did my Master at Toyota Technological Institute at Chicago (an academic computer science institute affiliated with the University of Chicago) working with Prof. Raquel Urtasun. Prior to that, I got my Bachelor in Computer Science from Shanghai Jiao Tong University.

Wenyuan Zeng*, Wenjie Luo*, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas and Raquel Urtasun
End-to-end Interpretable Neural Motion Planner
In Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
[Demo]

Sergio Casas, Wenjie Luo and Raquel Urtasun
IntentNet: Learning to Predict Intention from Raw Sensor Data
In Conference on Robot Learning (CoRL), 2018 (Spotlight)
[Demo]

Wenjie Luo, Bin Yang and Raquel Urtasun
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
In Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral)
[Talk] [Demo] [UofT News]

Bin Yang, Wenjie Luo and Raquel Urtasun
PIXOR: Real Time 3D Object Detection from Point Cloud
In Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Chris Zhang, Wenjie Luo and Raquel Urtasun
Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds
In International Conference on 3D Vision (3DV), 2018 (Spotlight)
[Demo]

Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler and Raquel Urtasun
TorontoCity: Seeing the World with a Million Eyes
In International Conference on Computer Vision (ICCV), 2017 (Spotlight)

Gellert Mattyus, Wenjie Luo and Raquel Urtasun
DeepRoadMapper: Extracting Road Topology from Aerial Images
In International Conference on Computer Vision (ICCV), 2017

Wenjie Luo*, Yujia Li*, Raquel Urtasun and Richard Zemel
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
In Neural Information Processing Systems (NIPS), 2016
[Appendix]

Min Bai*, Wenjie Luo*, Kaustav Kundu and Raquel Urtasun
Exploiting Semantic Information and Deep Matching for Optical Flow
In European Conference on Computer Vision (ECCV), 2016

Wenjie Luo, Alexander G. Schwing and Raquel Urtasun
Efficient Deep Learning for Stereo Matching
In Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Spotlight)
[Project page] [Slides] [Talk]

Wenjie Luo, Alexander G. Schwing and Raquel Urtasun
Latent Structured Active Learning
In Neural Information Processing Systems (NIPS), 2013

* denotes equal contribution.

CSC411/CSC2515: Machine Learning and Data Mining, UofT, Fall 2014, Fall 2015, Fall 2016
CSC412/CSC2506: Probabilistic Graphical Models, UofT, Winter 2016
CSC320: Introduction to Visual Computing, UofT, Winter 2014, Winter 2015
CSC209: Software Tools and Systems Programming, UofT, Summer 2014
CSC148: Introduction to Computer Science, UofT, Summer 2016

Other than playing with computers, I enjoy all kinds of sports, e.g. soccer, cycling, swimming, table tennis, badminton, snowboarding and running. I'm a marathon runner and aiming to become IRONMAN.
Recent years, I start hiking and photography. I hope one day I could be able to climb to the top of Mount Everest;)