Follow
Sanja Fidler
Sanja Fidler
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems 28, 2015
30332015
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
28282015
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
27932017
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
15292019
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
15052014
Vse++: Improving visual-semantic embeddings with hard negatives
F Faghri, DJ Fleet, JR Kiros, S Fidler
arXiv preprint arXiv:1707.05612, 2017
12382017
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
10642016
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
9632015
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
9472018
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
7522016
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
7172017
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
7032019
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
6502014
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
5822015
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
5452012
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
5352020
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
5272017
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
4962015
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
4452018
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
4182023
The system can't perform the operation now. Try again later.
Articles 1–20