Sanja Fidler

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Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Correu electrònic verificat a cs.toronto.edu
Antonio TorralbaProfessor of Computer Science, MITCorreu electrònic verificat a csail.mit.edu
Jun GaoUniversity of Toronto, NVIDIACorreu electrònic verificat a cs.toronto.edu
Amlan KarNVIDIA, University of Toronto,Correu electrònic verificat a cs.toronto.edu
Huan LingUniversity of TorontoCorreu electrònic verificat a cs.toronto.edu
David AcunaUniversity of Toronto, NVIDIACorreu electrònic verificat a cs.toronto.edu
Wenzheng ChenUniversity of Toronto, NVIDIACorreu electrònic verificat a cs.toronto.edu
Yukun ZhuGoogleCorreu electrònic verificat a google.com
Kaustav KunduSenior Applied Scientist, Amazon AWS AICorreu electrònic verificat a amazon.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityCorreu electrònic verificat a jhu.edu
Richard ZemelProfessor of Computer Science, University of TorontoCorreu electrònic verificat a cs.toronto.edu
Jamie KirosOpenAICorreu electrònic verificat a openai.com
Xavier PuigFAIR, MITCorreu electrònic verificat a meta.com
Dahua LinThe Chinese University of Hong KongCorreu electrònic verificat a ie.cuhk.edu.hk
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUCorreu electrònic verificat a cs.cmu.edu
Renjie LiaoUniversity of British ColumbiaCorreu electrònic verificat a ece.ubc.ca
Makarand TapaswiIIIT Hyderabad, Wadhwani AICorreu electrònic verificat a iiit.ac.in
Roozbeh MottaghiFAIR, MetaCorreu electrònic verificat a cs.stanford.edu
Bolei ZhouAssistant Professor at UCLACorreu electrònic verificat a ucla.edu
Hang ZhaoAssistant Professor, Tsinghua UniversityCorreu electrònic verificat a csail.mit.edu

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Sanja Fidler

University of Toronto, NVIDIA

Correu electrònic verificat a cs.toronto.edu - Pàgina d'inici

Computer Vision


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015	3076	2015
Scene parsing through ade20k dataset B Zhou, H Zhao, X Puig, S Fidler, A Barriuso, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017	2968	2017
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	2950	2015
Semantic understanding of scenes through the ade20k dataset B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba International Journal of Computer Vision 127, 302-321, 2019	1622	2019
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	1558	2014
Vse++: Improving visual-semantic embeddings with hard negatives F Faghri, DJ Fleet, JR Kiros, S Fidler arXiv preprint arXiv:1707.05612, 2017	1294	2017
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	1083	2016
Scaling egocentric vision: The epic-kitchens dataset D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, ... Proceedings of the European conference on computer vision (ECCV), 720-736, 2018	995	2018
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 28, 2015	976	2015
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	764	2016
Gated-scnn: Gated shape cnns for semantic segmentation T Takikawa, D Acuna, V Jampani, S Fidler Proceedings of the IEEE/CVF international conference on computer vision …, 2019	731	2019
Towards diverse and natural image descriptions via a conditional gan B Dai, S Fidler, R Urtasun, D Lin Proceedings of the IEEE international conference on computer vision, 2970-2979, 2017	729	2017
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	661	2014
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d J Philion, S Fidler Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	635	2020
Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015	588	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	553	2012
Magic3d: High-resolution text-to-3d content creation CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	547	2023
3d graph neural networks for rgbd semantic segmentation X Qi, R Liao, J Jia, S Fidler, R Urtasun Proceedings of the IEEE international conference on computer vision, 5199-5208, 2017	539	2017
Predicting deep zero-shot convolutional neural networks using textual descriptions J Lei Ba, K Swersky, S Fidler Proceedings of the IEEE international conference on computer vision, 4247-4255, 2015	503	2015
Efficient interactive annotation of segmentation datasets with polygon-rnn++ D Acuna, H Ling, A Kar, S Fidler Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018	463	2018

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