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Raquel Urtasun
Raquel Urtasun
Founder & CEO Waabi, Professor, University of Toronto.
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Are we ready for autonomous driving? the kitti vision benchmark suite
A Geiger, P Lenz, R Urtasun
2012 IEEE conference on computer vision and pattern recognition, 3354-3361, 2012
102822012
Vision meets Robotics: The KITTI Dataset
A Geiger, P Lenz, C Stiller, R Urtasun
IJRR, 2013
64922013
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems 28, 2015
27062015
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler
Proceedings of the IEEE international conference on computer vision, 19-27, 2015
19982015
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
12412016
The role of context for object detection and semantic segmentation in the wild
R Mottaghi, X Chen, X Liu, NG Cho, SW Lee, S Fidler, R Urtasun, A Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2014
11852014
Learning to reweight examples for robust deep learning
M Ren, W Zeng, B Yang, R Urtasun
International conference on machine learning, 4334-4343, 2018
10072018
Efficient large-scale stereo matching
A Geiger, M Roser, R Urtasun
Computer Vision–ACCV 2010, 25-38, 2010
10022010
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
8542018
Monocular 3d object detection for autonomous driving
X Chen, K Kundu, Z Zhang, H Ma, S Fidler, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
8402016
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7912016
3d object proposals for accurate object class detection
X Chen, K Kundu, Y Zhu, AG Berneshawi, H Ma, S Fidler, R Urtasun
Advances in neural information processing systems 28, 2015
7892015
Deep continuous fusion for multi-sensor 3d object detection
M Liang, B Yang, S Wang, R Urtasun
Proceedings of the European conference on computer vision (ECCV), 641-656, 2018
6362018
Multinet: Real-time joint semantic reasoning for autonomous driving
M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun
2018 IEEE intelligent vehicles symposium (IV), 1013-1020, 2018
6182018
Movieqa: Understanding stories in movies through question-answering
M Tapaswi, Y Zhu, R Stiefelhagen, A Torralba, R Urtasun, S Fidler
Proceedings of the IEEE conference on computer vision and pattern …, 2016
6172016
3D people tracking with Gaussian process dynamical models
R Urtasun, DJ Fleet, P Fua
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
5662006
Deep watershed transform for instance segmentation
M Bai, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5532017
Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
J Yao, S Fidler, R Urtasun
2012 IEEE conference on computer vision and pattern recognition, 702-709, 2012
5252012
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
5192015
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
5172018
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