Raquel Urtasun

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Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Shenlong WangUniversity of TorontoVerified email at cs.toronto.edu
Andreas GeigerProfessor of Computer Science, University of Tübingen and MPI-ISVerified email at uni-tuebingen.de
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Bin YangUniversity of TorontoVerified email at cs.toronto.edu
Renjie LiaoUniversity of TorontoVerified email at cs.toronto.edu
Mengye RenUniversity of TorontoVerified email at cs.toronto.edu
Wei-Chiu MaMITVerified email at mit.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
Wenyuan ZengUniversity of TorontoVerified email at cs.toronto.edu
Philip LenzResearch Scientist, Bosch Corporate ResearchVerified email at de.bosch.com
Yukun ZhuGoogleVerified email at google.com
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Kaustav KunduResearch Scientist, Amazon AWS AIVerified email at amazon.com
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
David J FleetGoogle Brain; University of Toronto; Universiity of Toronto Scarborough; Vector InstituteVerified email at cs.toronto.edu
Mathieu SalzmannEPFLVerified email at epfl.ch

Raquel Urtasun

Professor, University of Toronto. Chief Scientist, Uber ATG

Verified email at cs.toronto.edu - Homepage

Machine Learning Computer Vision Artificial Intelligence Autonomous driving


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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	7066	2012
Vision meets Robotics: The KITTI Dataset A Geiger, P Lenz, C Stiller, R Urtasun IJRR, 2013	4389	2013
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems, 3294-3302, 2015	2221	2015
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	1132	2015
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	918	2007
Efficient large-scale stereo matching A Geiger, M Roser, R Urtasun Computer Vision–ACCV 2010, 25-38, 2010	903	2010
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	886	2014
Understanding the effective receptive field in deep convolutional neural networks W Luo, Y Li, R Urtasun, R Zemel Proceedings of the 30th International Conference on Neural Information …, 2016	719	2016
Efficient deep learning for stereo matching W Luo, AG Schwing, R Urtasun Proceedings of the IEEE conference on computer vision and pattern …, 2016	606	2016
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	590	2015
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	564	2016
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	549	2006
Learning to reweight examples for robust deep learning M Ren, W Zeng, B Yang, R Urtasun International Conference on Machine Learning, 4334-4343, 2018	525	2018
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	481	2018
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	469	2012
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	455	2018
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	425	2016
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	423	2013
Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015	415	2015
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	413	2014

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