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Justin Liang

Justin is a Research Scientist at Uber ATG R&D. His research focuses on computer vision and machine learning for mapping and detection in self-driving vehicles. Before joining ATG, he completed an MSc in computer science, supervised by Raquel Urtasun at the University of Toronto. Justin also has a BASc in mechanical engineering from the University of British Columbia.

Recent publications

PolyTransform: Deep Polygon Transformer for Instance Segmentation

Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun (CVPR 2020)

DAGMapper: Learning to Map by Discovering Lane Topology

Namdar Homayounfar, Wei-Chiu Ma*, Justin Liang*, Xinyu Wu, Jack Fan, Raquel Urtasun (ICCV 2019)

Convolutional Recurrent Network for Road Boundary Extraction

Justin Liang*, Namdar Homayounfar*, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun (CVPR 2019)

End-to-End Deep Structured Models for Drawing Crosswalks

Justin Liang, Raquel Urtasun (ECCV 2018)

TorontoCity: Seeing the World with a Million Eyes

Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun (ICCV 2017, spotlight)