Raquel Urtasun - Google Scholar

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Medförfattare

Sanja FidlerUniversity of Toronto, NVIDIAVerifierad e-postadress på cs.toronto.edu
Andreas GeigerProfessor of Computer Science, University of Tübingen and MPI-ISVerifierad e-postadress på tue.mpg.de
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerifierad e-postadress på illinois.edu
Richard ZemelProfessor of Computer Science, University of TorontoVerifierad e-postadress på cs.toronto.edu
Shenlong WangUniversity of TorontoVerifierad e-postadress på cs.toronto.edu
Bin YangUniversity of TorontoVerifierad e-postadress på cs.toronto.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerifierad e-postadress på eecs.berkeley.edu
Pascal FuaProfessor Computer Science, EPFLVerifierad e-postadress på epfl.ch
Renjie LiaoUniversity of TorontoVerifierad e-postadress på cs.toronto.edu
Philip LenzResearch Scientist, Bosch Corporate ResearchVerifierad e-postadress på de.bosch.com
Yukun ZhuGoogleVerifierad e-postadress på google.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerifierad e-postadress på jhu.edu
Mengye RenUniversity of Toronto, Uber Advanced Technologies GroupVerifierad e-postadress på cs.toronto.edu
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyVerifierad e-postadress på technion.ac.il
Kaustav KunduResearch Scientist, Amazon AWS AIVerifierad e-postadress på amazon.com
Wei-Chiu MaMITVerifierad e-postadress på mit.edu
Antonio TorralbaProfessor of Computer Science, MITVerifierad e-postadress på csail.mit.edu
David J FleetGoogle Brain; University of Toronto; Vector InstituteVerifierad e-postadress på cs.toronto.edu
Mathieu SalzmannEPFLVerifierad e-postadress på epfl.ch
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerifierad e-postadress på cs.cmu.edu

Raquel Urtasun

Professor, University of Toronto. Chief Scientist, Uber ATG

Verifierad e-postadress på cs.toronto.edu - Startsida

Machine Learning Computer Vision Artificial Intelligence Autonomous driving


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	5321	2012
Vision meets Robotics: The KITTI Dataset A Geiger, P Lenz, C Stiller, R Urtasun IJRR, 2013	3232	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	1822	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	921*	2007
Efficient large-scale stereo matching A Geiger, M Roser, R Urtasun Computer Vision–ACCV 2010, 25-38, 2010	799	2010
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	686	2015
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	668	2014
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	525	2006
Efficient deep learning for stereo matching W Luo, AG Schwing, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	467	2016
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	466	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	455	2015
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	414	2012
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	397	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	373	2013
Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015	351	2015
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	349	2018
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	334	2014
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	323	2016
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	322	2007
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	321	2005

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