Soufiane Belharbi

Orcid: 0000-0001-6326-380X

According to our database1, Soufiane Belharbi authored at least 34 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition.
CoRR, 2024

Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild.
CoRR, 2024

SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution.
CoRR, 2024

Realistic Model Selection for Weakly Supervised Object Localization.
CoRR, 2024

Joint Multimodal Transformer for Dimensional Emotional Recognition in the Wild.
CoRR, 2024

Subject-Based Domain Adaptation for Facial Expression Recognition.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Joint Multimodal Transformer for Emotion Recognition in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization.
Image Vis. Comput., December, 2023

CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos.
CoRR, 2023

Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.
IEEE Trans. Medical Imaging, 2022

Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization.
CoRR, 2022

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images.
CoRR, 2022

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Negative Evidence Matters in Interpretable Histology Image Classification.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
F-CAM: Full Resolution CAM via Guided Parametric Upscaling.
CoRR, 2021

Deep Active Learning for Joint Classification & Segmentation with Weak Annotator.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Holistic Guidance for Occluded Person Re-Identification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Convolutional STN for Weakly Supervised Object Localization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Convolutional STN for Weakly Supervised Object Localization and Beyond.
CoRR, 2019

Deep Ordinal Classification with Inequality Constraints.
CoRR, 2019

Deep weakly-supervised learning methods for classification and localization in histology images: a survey.
CoRR, 2019

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.
CoRR, 2019

2018
Neural Networks Regularization Through Representation Learning. (Régularisation des réseaux de neurones via l'apprentissage des représentations).
PhD thesis, 2018

Deep neural networks regularization for structured output prediction.
Neurocomputing, 2018

Neural Networks Regularization Through Representation Learning.
CoRR, 2018

2017
Neural Networks Regularization Through Class-wise Invariant Representation Learning.
CoRR, 2017

Spotting L3 slice in CT scans using deep convolutional network and transfer learning.
Comput. Biol. Medicine, 2017

2016
Deep multi-task learning with evolving weights.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Input/Output Deep Architecture for Structured Output Problems.
CoRR, 2015


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