sbelharbi
Post-doc at LIVIA Lab. ÉTS Montreal, in collab. with McCaffrey Lab. /GCRC McGill. Training neural networks with weak supervision.
Montréal, Québec
Pinned Repositories
colo-cam
Pytorch code for "CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos"
deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator
Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"
deep-wsl-histo-min-max-uncertainty
Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".
fcam-wsol
Pytorch implementation of F-CAM. Paper: "F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling".
feature-vs-text-compound-emotion
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild, ABAW 7th - Challenge - Compound Expression (CE) Recognition Challenge
interpretable-fer-aus
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
negev
Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".
sr-caco-2
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
tcam-wsol-video
Pytorch code for paper "TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos"
wsol-min-max-entropy-interpretability
Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization
sbelharbi's Repositories
sbelharbi/deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator
Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"
sbelharbi/deep-wsl-histo-min-max-uncertainty
Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".
sbelharbi/wsol-min-max-entropy-interpretability
Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization
sbelharbi/fcam-wsol
Pytorch implementation of F-CAM. Paper: "F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling".
sbelharbi/learning-class-invariant-features
Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
sbelharbi/tcam-wsol-video
Pytorch code for paper "TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos"
sbelharbi/interpretable-fer-aus
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
sbelharbi/structured-output-ae
Repository for the code of the paper "Deep Neural Networks Regularization for Structured Output Prediction"
sbelharbi/negev
Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".
sbelharbi/feature-vs-text-compound-emotion
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild, ABAW 7th - Challenge - Compound Expression (CE) Recognition Challenge
sbelharbi/sr-caco-2
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
sbelharbi/Deep-Ordinal-Classification-with-Inequality-Constraints
Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.
sbelharbi/colo-cam
Pytorch code for "CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos"
sbelharbi/doctorants-actifs.github.io
Official website of DOC-AC club. INSA de Rouen Normandie
sbelharbi/sbelharbi.github.io
My personal website.
sbelharbi/asso-added.github.io
Le site personnel.
sbelharbi/Permutohedral_attention_module
sbelharbi/sbelharbi
sbelharbi/SynergyNet
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry