Privileged knowledge distillation for dimensional emotion recognition in the wild

Privileged knowledge distillation for dimensional emotion recognition in the wild

Aslam, Muhammad Haseeb, Osama Zeeshan, Muhammad, Pedersoli, Marco, Koerich, Alessandro L., Bacon, Simon and Granger, Eric.

In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)pp. 3338-3347.IEEE Computer Society. 2023

Harmonizing flows: Unsupervised MR harmonization based on normalizing flows

Harmonizing flows: Unsupervised MR harmonization based on normalizing flows

Beizaee, Farzad, Desrosiers, Christian, Lodygensky, Gregory A. and Dolz, Jose.

In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) Coll. « Lecture Notes in Computer Science », vol. 13939.pp. 347-359.Springer. 2023

Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation

Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation

Kim, Bach Ngoc, Dolz, Jose, Jodoin, Pierre-Marc and Desrosiers, Christian.

In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) Coll. « Lecture Notes in Computer Science », vol. 13939.pp. 717-729.Springer. 2023

Harmonizing flows: Unsupervised MR harmonization based on normalizing flows

Harmonizing flows: Unsupervised MR harmonization based on normalizing flows

Beizaee, Farzad, Desrosiers, Christian, Lodygensky, Gregory A. and Dolz, Jose.

In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) Coll. « Lecture Notes in Computer Science », vol. 13939.pp. 347-359.Springer. 2023

Detection and root cause analysis of performance degradation in optical networks using machine learning

Detection and root cause analysis of performance degradation in optical networks using machine learning

Tremblay, Christine, Mahmoudialami, Ali, Ngani Sigue, Philippe Alain, Pei, Yinqing, Côté, David, Boertjes, David, Demeter, Dacian and Desrosiers, Christian.

In 49th European Conference on Optical Communications (ECOC) (Glasgow, Scotland, Oct. 01-05, 2023) 2023

Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation

Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation

Kim, Bach Ngoc, Dolz, Jose, Jodoin, Pierre-Marc and Desrosiers, Christian.

In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) Coll. « Lecture Notes in Computer Science », vol. 13939.pp. 717-729.Springer. 2023

Towards practical few-shot query sets: Transductive minimum description length inference

Towards practical few-shot query sets: Transductive minimum description length inference

Martin, Ségolène, Boudiaf, Malik, Chouzenoux, Emilie, Pesquet, Jean-Christophe and Ben Ayed, Ismail.

In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022)Neural information processing systems foundation. 2022

Negative evidence matters in interpretable histology image classification

Negative evidence matters in interpretable histology image classification

Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Éric.

In Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022) Coll. « Proceedings of Machine Learning Research » 2022

TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos

TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos

Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Eric.

In 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 02-07, 2023)pp. 137-146.Institute of Electrical and Electonics Engineers Inc.. Compte des citations dans Scopus : 1. 2023

Privacy-preserving adversarial network (PPAN) for continuous non-Gaussian attributes

Privacy-preserving adversarial network (PPAN) for continuous non-Gaussian attributes

Shateri, Mohammadhadi and Labeau, Fabrice.

In IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) (Vancouver, WA, USA, Mar. 06-09, 2022)p. 138-143. 2022