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Marco Pedersoli
Marco Pedersoli
Associate professor, École de technologie supérieure, Montréal, Québec, Canada
Verified email at etsmtl.ca - Homepage
Title
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Cited by
Year
Face detection without bells and whistles
M Mathias, R Benenson, M Pedersoli, LV Gool
European conference on computer vision, 720-735, 2014
6822014
A coarse-to-fine approach for fast deformable object detection
M Pedersoli, A Vedaldi, J Gonzalez, X Roca
Pattern Recognition 48 (5), 1844-1853, 2015
2482015
Weakly supervised object detection with convex clustering
H Bilen, M Pedersoli, T Tuytelaars
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
2142015
Areas of Attention for Image Captioning
M Pedersoli, T Lucas, C Schmid, J Verbeek
Proceedings of the IEEE International Conference on Computer Vision, 2017
1802017
Weakly supervised object detection with posterior regularization
H Bilen, M Pedersoli, T Tuytelaars
Proceedings BMVC 2014, 1-12, 2014
1532014
Deepproposal: Hunting objects by cascading deep convolutional layers
A Ghodrati, A Diba, M Pedersoli, T Tuytelaars, L Van Gool
Proceedings of the IEEE international conference on computer vision, 2578-2586, 2015
1372015
Deep co-training for semi-supervised image segmentation
J Peng, G Estrada, M Pedersoli, C Desrosiers
Pattern Recognition 107, 107269, 2020
652020
Toward Real-Time Pedestrian Detection Based on a Deformable Template Model
M Pedersoli, J Gonzàlez, X Hu, X Roca
IEEE Transactions on Intelligent Transportation Systems, 1-10, 2014
622014
Deep clustering: On the link between discriminative models and k-means
M Jabi, M Pedersoli, A Mitiche, IB Ayed
IEEE transactions on pattern analysis and machine intelligence 43 (6), 1887-1896, 2019
522019
Is 2d information enough for viewpoint estimation?
A Ghodrati, M Pedersoli, T Tuytelaars
Proceedings BMVC 2014, 1-12, 2014
522014
Recursive coarse-to-fine localization for fast object detection
M Pedersoli, J Gonzàlez, AD Bagdanov, JJ Villanueva
European Conference on Computer Vision, 280-293, 2010
502010
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
M Boudiaf, J Rony, IM Ziko, E Granger, M Pedersoli, P Piantanida, ...
European conference on computer vision, 548-564, 2020
412020
On the texture bias for few-shot cnn segmentation
R Azad, AR Fayjie, C Kauffmann, I Ben Ayed, M Pedersoli, J Dolz
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
372021
Towards automatic image editing: Learning to see another you
A Ghodrati, X Jia, M Pedersoli, T Tuytelaars
arXiv preprint arXiv:1511.08446, 2015
372015
Semi-supervised few-shot learning for medical image segmentation
AR Feyjie, R Azad, M Pedersoli, C Kauffman, IB Ayed, J Dolz
arXiv preprint arXiv:2003.08462, 2020
332020
An attention model for group-level emotion recognition
A Gupta, D Agrawal, H Chauhan, J Dolz, M Pedersoli
Proceedings of the 20th ACM International Conference on Multimodal …, 2018
332018
Multimodal fusion with deep neural networks for audio-video emotion recognition
JDS Ortega, M Senoussaoui, E Granger, M Pedersoli, P Cardinal, ...
arXiv preprint arXiv:1907.03196, 2019
282019
Discretely-constrained deep network for weakly supervised segmentation
J Peng, H Kervadec, J Dolz, IB Ayed, M Pedersoli, C Desrosiers
Neural Networks 130, 297-308, 2020
262020
On importance of interactions and context in human action recognition
N Shapovalova, W Gong, M Pedersoli, FX Roca, J Gonzalez
Iberian conference on pattern recognition and image analysis, 58-66, 2011
242011
DeepProposals: Hunting objects and actions by cascading deep convolutional layers
A Ghodrati, A Diba, M Pedersoli, T Tuytelaars, L Van Gool
International Journal of Computer Vision 124 (2), 115-131, 2017
212017
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