Raquel Urtasun
Raquel Urtasun
Associate Professor, University of Toronto
Dirección de correo verificada de cs.toronto.edu - Página principal
Título
Citado por
Citado por
Año
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
49952012
Vision meets Robotics: The KITTI Dataset
A Geiger, P Lenz, C Stiller, R Urtasun
IJRR, 2013
29772013
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
17612015
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
6282014
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
6222015
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
4172016
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
3392015
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
3062016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20