Justin Liang
Justin Liang
Uber
Verified email at uber.com - Homepage
Title
Cited by
Cited by
Year
Torontocity: Seeing the world with a million eyes
S Wang, M Bai, G Mattyus, H Chu, W Luo, B Yang, J Liang, J Cheverie, ...
arXiv preprint arXiv:1612.00423, 2016
1432016
Polytransform: Deep polygon transformer for instance segmentation
J Liang, N Homayounfar, WC Ma, Y Xiong, R Hu, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
492020
Convolutional recurrent network for road boundary extraction
J Liang, N Homayounfar, WC Ma, S Wang, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
302019
Dagmapper: Learning to map by discovering lane topology
N Homayounfar, WC Ma, J Liang, X Wu, J Fan, R Urtasun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
302019
End-to-end deep structured models for drawing crosswalks
J Liang, R Urtasun
Proceedings of the European Conference on Computer Vision (ECCV), 396-412, 2018
102018
Levelset r-cnn: A deep variational method for instance segmentation
N Homayounfar, Y Xiong, J Liang, WC Ma, R Urtasun
European Conference on Computer Vision, 555-571, 2020
92020
Structured Prediction Crosswalk Generation
JJW Liang, RU Sotil
US Patent App. 16/353,871, 2019
62019
Canny Edge Detection
J Liang
Retrieved 6, 15, 2019
42019
Secrets of 3D Implicit Object Shape Reconstruction in the Wild
S Duggal, Z Wang, WC Ma, S Manivasagam, J Liang, S Wang, R Urtasun
arXiv preprint arXiv:2101.06860, 2021
32021
Map Automation-Lane Classification
JJW Liang, RU Sotil
US Patent App. 16/183,012, 2019
32019
High Quality Instance Segmentation
N Homayounfar, Y Xiong, J Liang, WC Ma, R Urtasun
US Patent App. 17/017,104, 2021
2021
Systems and Methods for Predicting Instance Geometry
J Liang, N Homayounfar, WC Ma, Y Xiong, R Urtasun
US Patent App. 17/007,667, 2021
2021
VideoClick: Video Object Segmentation with a Single Click
N Homayounfar, J Liang, WC Ma, R Urtasun
arXiv preprint arXiv:2101.06545, 2021
2021
System and Methods for Generating High Definition Maps Using Machine-Learned Models to Analyze Topology Data Gathered From Sensors
N Homayounfar, J Liang, WC Ma, R Urtasun
US Patent App. 16/825,518, 2020
2020
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