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Wenjie Luo
Wenjie Luo
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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
10632016
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7342016
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
7242018
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
4452018
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
2642017
Intentnet: Learning to predict intention from raw sensor data
S Casas, W Luo, R Urtasun
Conference on Robot Learning, 947-956, 2018
2412018
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
1892019
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
1612016
Exploiting semantic information and deep matching for optical flow
M Bai, W Luo, K Kundu, R Urtasun
European Conference on Computer Vision, 154-170, 2016
1332016
Efficient summarization with read-again and copy mechanism
W Zeng, W Luo, S Fidler, R Urtasun
arXiv preprint arXiv:1611.03382, 2016
982016
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
672017
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
652018
Latent structured active learning
W Luo, A Schwing, R Urtasun
Advances in Neural Information Processing Systems 26, 2013
572013
Systems and Methods for Object Detection, Tracking, and Motion Prediction
W Luo, B Yang, R Urtasun
US Patent App. 16/124,966, 2019
122019
Semantic segmentation of three-dimensional data
CJH Zhang, W Luo, R Urtasun
US Patent 10,970,553, 2021
102021
Three Dimensional Object Detection
W Luo, B Yang, R Urtasun
US Patent App. 16/133,046, 2019
102019
End-To-End Interpretable Motion Planner for Autonomous Vehicles
W Zeng, W Luo, A Sadat, B Yang, R Urtasun
US Patent App. 16/541,739, 2020
62020
Multi-Task Machine-Learned Models for Object Intention Determination in Autonomous Driving
S Casas, W Luo, R Urtasun
US Patent App. 16/420,686, 2019
62019
Universal embeddings for spatio-temporal tagging of self-driving logs
S Segal, E Kee, W Luo, A Sadat, E Yumer, R Urtasun
arXiv preprint arXiv:2011.06165, 2020
22020
Joint Forecasting of Panoptic Segmentations with Difference Attention
C Graber, C Jazra, W Luo, L Gui, AG Schwing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
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