Raquel Urtasun
Raquel Urtasun
Professor, University of Toronto. Chief Scientist, Uber ATG
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.toronto.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
66312012
Vision meets Robotics: The KITTI Dataset
A Geiger, P Lenz, C Stiller, R Urtasun
IJRR, 2013
40862013
Skip-thought vectors
R Kiros, Y Zhu, R Salakhutdinov, RS Zemel, A Torralba, R Urtasun, ...
arXiv preprint arXiv:1506.06726, 2015
21302015
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
10172015
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
8992007
Efficient large-scale stereo matching
A Geiger, M Roser, R Urtasun
Computer Vision–ACCV 2010, 25-38, 2010
8852010
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
8262014
Understanding the effective receptive field in deep convolutional neural networks
W Luo, Y Li, R Urtasun, R Zemel
arXiv preprint arXiv:1701.04128, 2017
6392017
Efficient deep learning for stereo matching
W Luo, AG Schwing, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5782016
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
5602015
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
5422006
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
5262016
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
4552012
Learning to reweight examples for robust deep learning
M Ren, W Zeng, B Yang, R Urtasun
International Conference on Machine Learning, 4334-4343, 2018
4412018
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
4392018
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
4312018
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
4132013
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
4052016
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
3962015
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
3912014
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