Sanja Fidler
Sanja Fidler
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.toronto.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
22972015
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
12462015
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
10872017
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
9272014
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
6172015
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
5922016
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 (3), 302-321, 2019
5482019
Vse++: Improving visual-semantic embeddings with hard negatives
F Faghri, DJ Fleet, JR Kiros, S Fidler
arXiv preprint arXiv:1707.05612, 2017
5242017
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
4782012
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
4562016
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
4322014
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
4272015
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
3982018
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
3672017
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
3672015
Holistic scene understanding for 3d object detection with rgbd cameras
D Lin, S Fidler, R Urtasun
Proceedings of the IEEE international conference on computer vision, 1417-1424, 2013
3062013
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
2872017
Towards scalable representations of object categories: Learning a hierarchy of parts
S Fidler, A Leonardis
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
2582007
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
2222018
3d object proposals using stereo imagery for accurate object class detection
X Chen, K Kundu, Y Zhu, H Ma, S Fidler, R Urtasun
IEEE transactions on pattern analysis and machine intelligence 40 (5), 1259-1272, 2017
2222017
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