Raquel Urtasun
Raquel Urtasun
Associate 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
49902012
Vision meets Robotics: The KITTI Dataset
A Geiger, P Lenz, C Stiller, R Urtasun
IJRR, 2013
29742013
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
17472015
Gaussian process dynamical models for human motion
JM Wang, DJ Fleet, A Hertzmann
IEEE transactions on pattern analysis and machine intelligence 30 (2), 283-298, 2007
898*2007
Efficient large-scale stereo matching
A Geiger, M Roser, R Urtasun
Computer Vision–ACCV 2010, 25-38, 2010
7812010
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
6272014
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
6102015
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
5242006
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
4372016
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, 424-432, 2015
4192015
Understanding the effective receptive field in deep convolutional neural networks
W Luo, Y Li, R Urtasun, R Zemel
Advances in neural information processing systems, 4898-4906, 2016
4162016
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
4082012
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
3632016
3d traffic scene understanding from movable platforms
A Geiger, M Lauer, C Wojek, C Stiller, R Urtasun
IEEE transactions on pattern analysis and machine intelligence 36 (5), 1012-1025, 2013
3632013
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
3382015
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
3322018
Priors for people tracking from small training sets
R Urtasun, DJ Fleet, A Hertzmann, P Fua
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
3212005
Detect what you can: Detecting and representing objects using holistic models and body parts
X Chen, R Mottaghi, X Liu, S Fidler, R Urtasun, A Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2014
3202014
Active learning with gaussian processes for object categorization
A Kapoor, K Grauman, R Urtasun, T Darrell
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
3172007
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
3042016
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