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Wenjie Luo
Wenjie Luo
Waymo
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Understanding the effective receptive field in deep convolutional neural networks
W Luo, Y Li, R Urtasun, R Zemel
Advances in neural information processing systems 29, 2016
19512016
Pixor: Real-time 3d object detection from point clouds
B Yang, W Luo, R Urtasun
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018
12672018
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
9002016
Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
W Luo, B Yang, R Urtasun
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018
7212018
Deeproadmapper: Extracting road topology from aerial images
G Máttyus, W Luo, R Urtasun
Proceedings of the IEEE international conference on computer vision, 3438-3446, 2017
4702017
Intentnet: Learning to predict intention from raw sensor data
S Casas, W Luo, R Urtasun
Conference on Robot Learning, 947-956, 2018
4182018
End-to-end interpretable neural motion planner
W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3992019
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
2062016
Exploiting semantic information and deep matching for optical flow
M Bai, W Luo, K Kundu, R Urtasun
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
1552016
Efficient summarization with read-again and copy mechanism
W Zeng, W Luo, S Fidler, R Urtasun
arXiv preprint arXiv:1611.03382, 2016
1242016
Exploiting deep matching and SAR data for the geo-localization accuracy improvement of optical satellite images
N Merkle, W Luo, S Auer, R Müller, R Urtasun
Remote Sensing 9 (6), 586, 2017
1082017
Latent structured active learning
W Luo, A Schwing, R Urtasun
Advances in Neural Information Processing Systems 26, 2013
1052013
Efficient convolutions for real-time semantic segmentation of 3d point clouds
C Zhang, W Luo, R Urtasun
2018 International Conference on 3D Vision (3DV), 399-408, 2018
952018
Multi-task machine-learned models for object intention determination in autonomous driving
S Casas, W Luo, R Urtasun
US Patent 11,370,423, 2022
602022
Systems and methods for object detection, tracking, and motion prediction
W Luo, B Yang, R Urtasun
US Patent 11,475,351, 2022
552022
Three Dimensional Object Detection
W Luo, B Yang, R Urtasun
US Patent App. 16/133,046, 2019
542019
Semantic segmentation of three-dimensional data
CJH Zhang, W Luo, R Urtasun
US Patent 10,970,553, 2021
492021
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ...
Advances in Neural Information Processing Systems 36, 2024
212024
Jfp: Joint future prediction with interactive multi-agent modeling for autonomous driving
W Luo, C Park, A Cornman, B Sapp, D Anguelov
Conference on Robot Learning, 1457-1467, 2023
182023
Universal embeddings for spatio-temporal tagging of self-driving logs
S Segal, E Kee, W Luo, A Sadat, E Yumer, R Urtasun
Conference on Robot Learning, 973-983, 2021
62021
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