Sanja Fidler
Sanja Fidler
在 cs.toronto.edu 的电子邮件经过验证 - 首页
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Skip-thought vectors
R Kiros, Y Zhu, R Salakhutdinov, RS Zemel, A Torralba, R Urtasun, ...
arXiv preprint arXiv:1506.06726, 2015
21032015
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
9762015
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
8942017
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
8082014
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
5512015
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
5132016
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
4642019
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
4552012
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
3982016
Vse++: Improving visual-semantic embeddings with hard negatives
F Faghri, DJ Fleet, JR Kiros, S Fidler
arXiv preprint arXiv:1707.05612, 2017
3932017
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
3902015
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
3852014
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
3382015
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
3222017
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
3202018
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
2912013
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
2512007
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
2312017
3d object detection and viewpoint estimation with a deformable 3d cuboid model
S Fidler, S Dickinson, R Urtasun
Advances in neural information processing systems 25, 611-619, 2012
2102012
Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling
S Fidler, D Skocaj, A Leonardis
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (3), 337-350, 2006
2022006
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