Justin Liang
I'm currently a Research Scientist at Uber ATG Toronto. I completed my MSc in Computer Science (Machine Learning Group) at the University of Toronto (2016-2018) and was supervised by Raquel Urtasun. Prior to that I completed my BASc in Mechanical Engineering (Mechatronics Program) at the University of British Columbia (2011-2016). My research interests lie on the intersection of Computer Vision and Machine Learning. My CV is available here.
My e-mail is justin dot j dot w dot liang at gmail dot com.
Publications
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation
Namdar Homayounfar*, Yuwen Xiong*, Justin Liang*, Wei-Chiu Ma, Raquel Urtasun. (ECCV 2020)
[Paper]
PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun. (CVPR 2020)
[Paper][Supp][Videos]
DAGMapper: Learning to Map By Discovering Lane Topology
Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, Raquel Urtasun. (ICCV 2019)
[Paper]
Convolutional Recurrent Network for Road Boundary Extraction
Justin Liang*, Namdar Homayounfar*, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun. (CVPR 2019)
[Paper]
End-to-End Deep Structured Models for Drawing Crosswalks
Justin Liang, Raquel Urtasun. (ECCV 2018)
[Paper]
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun. (ICCV 2017, Spotlight)
[Paper]
Talks
CSC2541: Topics in Machine Learning - Sport Analytics (Winter 2017)
Gave a lecture on two activity recognition papers: End-to-end Learning of Action Detection from Frame Glimpses in Videos and Detecting Events and Key Actors in Multi-Person Videos.
[Slides]
Tutorials
Projects
Egg Yolk Consistency Measurement Device
Designed and developed a device that measures the yolk consistancy of an egg by oscillating it on a spring. Please refer to my partner in crime who has written a nice webpage about this here.