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Marco Pedersoli
Marco Pedersoli
Associate professor, ÉTS Montréal, member of LIVIA, ILLS, ELLIS and MILA affiliate
Zweryfikowany adres z etsmtl.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Face detection without bells and whistles
M Mathias, R Benenson, M Pedersoli, L Van Gool
European conference on computer vision, 720-735, 2014
7352014
Areas of Attention for Image Captioning
M Pedersoli, T Lucas, C Schmid, J Verbeek
Proceedings of the IEEE International Conference on Computer Vision, 2017
2632017
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
2632015
Weakly supervised object detection with convex clustering
H Bilen, M Pedersoli, T Tuytelaars
Proceedings of the IEEE conference on computer vision and pattern …, 2015
2552015
Deep co-training for semi-supervised image segmentation
J Peng, G Estrada, M Pedersoli, C Desrosiers
Pattern Recognition 107, 107269, 2020
2032020
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, ...
ECCV 2020: European conference on computer vision, 548-564, 2020
2032020
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, 115-131, 2017
173*2017
Weakly supervised object detection with posterior regularization
H Bilen, M Pedersoli, T Tuytelaars
Proceedings BMVC 2014, 1-12, 2014
1642014
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
1402019
On the texture bias for few-shot cnn segmentation
R Azad, AR Fayjie, C Kauffmann, I Ben Ayed, M Pedersoli, J Dolz
WACV 2021: IEEE/CVF winter conference on applications of computer vision …, 2021
1012021
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
972020
A joint cross-attention model for audio-visual fusion in dimensional emotion recognition
RG Praveen, WC de Melo, N Ullah, H Aslam, O Zeeshan, T Denorme, ...
CVPRw 2022: IEEE/CVF conference on computer vision and pattern recognition …, 2022
88*2022
Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels
J Peng, P Wang, C Desrosiers, M Pedersoli
NeurIPS 2021: Advances in Neural Information Processing Systems 34, 16686-16699, 2021
822021
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
752019
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
672014
Is 2d information enough for viewpoint estimation?
A Ghodrati, M Pedersoli, T Tuytelaars
Proceedings BMVC 2014, 1-12, 2014
622014
Self-paced and self-consistent co-training for semi-supervised image segmentation
P Wang, J Peng, M Pedersoli, Y Zhou, C Zhang, C Desrosiers
Medical Image Analysis 73, 102146, 2021
582021
An attention model for group-level emotion recognition
A Gupta, D Agrawal, H Chauhan, J Dolz, M Pedersoli
ICMI 2018: ACM International Conference on Multimodal Interaction, 611-615, 2018
552018
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
512010
Augmented lagrangian adversarial attacks
J Rony, E Granger, M Pedersoli, I Ben Ayed
CVPR 2021: IEEE/CVF International Conference on Computer Vision, 7738-7747, 2021
502021
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