Raquel Urtasun
Raquel Urtasun
Associate Professor, University of Toronto
Verified email at cs.toronto.edu - Homepage
TitleCited byYear
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
39172012
Vision meets Robotics: The KITTI Dataset
A Geiger, P Lenz, C Stiller, R Urtasun
IJRR, 2013
22052013
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
12992015
Efficient large-scale stereo matching
A Geiger, M Roser, R Urtasun
Computer Vision–ACCV 2010, 25-38, 2010
7142010
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
5072006
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
5022014
Describing the scene as a whole: joint object detection
J Yao, S Fidler, R Urtasun
Proceedings of CVPR, 2012
3672012
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
3352016
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
3342015
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
3302015
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
3262013
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
3202005
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
2912007
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
2882016
Efficient joint segmentation, occlusion labeling, stereo and flow estimation
K Yamaguchi, D McAllester, R Urtasun
European Conference on Computer Vision, 756-771, 2014
2702014
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
2632014
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
2592016
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
2402018
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
2392015
Non-linear matrix factorization with Gaussian processes
ND Lawrence, R Urtasun
Proceedings of the 26th annual international conference on machine learning …, 2009
2372009
The system can't perform the operation now. Try again later.
Articles 1–20