Sanja Fidler

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Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verifisert e-postadresse på cs.toronto.edu
Antonio TorralbaProfessor of Computer Science, MITVerifisert e-postadresse på csail.mit.edu
Jun GaoUniversity of Toronto, NVIDIAVerifisert e-postadresse på cs.toronto.edu
Amlan KarNVIDIA, University of TorontoVerifisert e-postadresse på cs.toronto.edu
Huan LingUniversity of TorontoVerifisert e-postadresse på cs.toronto.edu
David AcunaUniversity of Toronto, NVIDIAVerifisert e-postadresse på cs.toronto.edu
Wenzheng ChenUniversity of Toronto, NVIDIAVerifisert e-postadresse på cs.toronto.edu
Yukun ZhuGoogleVerifisert e-postadresse på google.com
Kaustav KunduSenior Applied Scientist, Amazon AWS AIVerifisert e-postadresse på amazon.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerifisert e-postadresse på jhu.edu
Xavier PuigFAIR, MITVerifisert e-postadresse på meta.com
Dahua LinThe Chinese University of Hong KongVerifisert e-postadresse på ie.cuhk.edu.hk
Richard ZemelProfessor of Computer Science, University of TorontoVerifisert e-postadresse på cs.toronto.edu
Renjie LiaoUniversity of British ColumbiaVerifisert e-postadresse på ece.ubc.ca
Jamie KirosOpenAIVerifisert e-postadresse på openai.com
Makarand TapaswiIIIT Hyderabad, Wadhwani AIVerifisert e-postadresse på iiit.ac.in
Roozbeh MottaghiFAIR, MetaVerifisert e-postadresse på cs.stanford.edu
Bolei ZhouAssistant Professor at UCLAVerifisert e-postadresse på ucla.edu
Hang ZhaoAssistant Professor, Tsinghua UniversityVerifisert e-postadresse på csail.mit.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerifisert e-postadresse på cs.cmu.edu

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Sanja Fidler

University of Toronto, NVIDIA

Verifisert e-postadresse på cs.toronto.edu - Startside

Computer Vision


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	3582	2017
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Y Zhu arXiv preprint arXiv:1506.06724, 2015	3292	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015	3205	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	1984	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	1731	2014
Vse++: Improving visual-semantic embeddings with hard negatives F Faghri, DJ Fleet, JR Kiros, S Fidler arXiv preprint arXiv:1707.05612, 2017	1452	2017
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	1184	2018
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	1179	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 28, 2015	1039	2015
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	986	2020
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	951	2023
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	830	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	802	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	788	2017
Align your latents: High-resolution video synthesis with latent diffusion models A Blattmann, R Rombach, H Ling, T Dockhorn, SW Kim, S Fidler, K Kreis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	738	2023
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	725	2014
Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015	630	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	568	2012
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	563	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	527	2015

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