From coarse to fine skin and face detection. - Hichem Sahbi; Nozha Boujemaa (ACM Multimedia, 2000)

Robust matching by dynamic space warping for accurate face recognition. - Hichem Sahbi; Nozha Boujemaa (ICIP (1), 2001)

Coarse to Fine Face Detection Based on Skin Color Adaption. - Hichem Sahbi; Nozha Boujemaa (Biometric Authentication, 2002)

Robust Face Recognition Using Dynamic Space Warping. - Hichem Sahbi; Nozha Boujemaa (Biometric Authentication, 2002)

Face detection using coarse-to-fine support vector classifiers. - Hichem Sahbi; Donald Geman; Nozha Boujemaa (ICIP (3), 2002)

Coarse-to-Fine Support Vector Classifiers for Face Detection. - Hichem Sahbi; Nozha Boujemaa (ICPR (3), 2002)

Fuzzy Clustering: Consistency of Entropy Regularization. - Hichem Sahbi; Nozha Boujemaa (Fuzzy Days, 2004)

Automatic textual annotation of video news based on semantic visual object extraction. - Nozha Boujemaa; François Fleuret; Valérie Gouet; Hichem Sahbi (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Validity of Fuzzy Clustering Using Entropy Regularization. - Hichem Sahbi; Nozha Boujemaa (FUZZ-IEEE, 2005)

Applying interest operators in semi-fragile video watermarking. - Stefan Thiemert; Hichem Sahbi; Martin Steinebach (Security, Steganography, and Watermarking of Multimedia Contents, 2005)

Using entropy for image and video authentication watermarks. - Stefan Thiemert; Hichem Sahbi; Martin Steinebach (Security, Steganography, and Watermarking of Multimedia Contents, 2006)

A Hierarchy of Support Vector Machines for Pattern Detection. - Hichem Sahbi; Donald Geman (J. Mach. Learn. Res., 2006)

Consensus Network Decoding for Statistical Machine Translation System Combination. - Khe Chai Sim; William J. Byrne; Mark J. F. Gales; Hichem Sahbi; Philip C. Woodland (ICASSP (4), 2007)

Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval. - Hichem Sahbi; Jean-Yves Audibert; Renaud Keriven (ICCV, 2007)

Kernel PCA for similarity invariant shape recognition. - Hichem Sahbi (Neurocomputing, 2007)

Object recognition and retrieval by context dependent similarity kernels. - Hichem Sahbi; Jean-Yves Audibert; Jaonary Rabarisoa; Renaud Keriven (CBMI, 2008)

TELECOMParisTech at ImageClefphoto 2008: Bi-Modal Text and Image Retrieval with Diversity Enhancement. - Marin Ferecatu; Hichem Sahbi (CLEF (Working Notes), 2008)

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. - Sabrina Tollari; Marcin Detyniecki; Marin Ferecatu; Hervé Glotin; Philippe Mulhem; Massih-Reza Amini; Ali Fakeri-Tabrizi; Patrick Gallinari; Hichem Sahbi; Zhong-Qiu Zhao (CLEF (Working Notes), 2008)

A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches. - Sabrina Tollari; Philippe Mulhem; Marin Ferecatu; Hervé Glotin; Marcin Detyniecki; Patrick Gallinari; Hichem Sahbi; Zhong-Qiu Zhao (CLEF, 2008)

Context-dependent kernel design for object matching and recognition. - Hichem Sahbi; Jean-Yves Audibert; Jaonary Rabarisoa; Renaud Keriven (CVPR, 2008)

Manifold learning using robust Graph Laplacian for interactive image search. - Hichem Sahbi; Patrick Etyngier; Jean-Yves Audibert; Renaud Keriven (CVPR, 2008)

Graph laplacian for interactive image retrieval. - Hichem Sahbi; Patrick Etyngier; Jean-Yves Audibert; Renaud Keriven (ICASSP, 2008)

Robust matching and recognition using context-dependent kernels. - Hichem Sahbi; Jean-Yves Audibert; Jaonary Rabarisoa; Renaud Keriven (ICML, 2008)

A particular Gaussian mixture model for clustering and its application to image retrieval. - Hichem Sahbi (Soft Comput., 2008)

TELECOM ParisTech at ImageClef 2009: Large Scale Visual Concept Detection and Annotation Task. - Marin Ferecatu; Hichem Sahbi (CLEF (Working Notes), 2009)

Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness. - Hervé Glotin; Ali Fakeri-Tabrizi; Philippe Mulhem; Marin Ferecatu; Z. Zhao; Sabrina Tollari; Georges Quénot; Hichem Sahbi; Emilie Dumont; Patrick Gallinari (CLEF (Working Notes), 2009)

Multi-view object matching and tracking using canonical correlation analysis. - Marin Ferecatu; Hichem Sahbi (ICIP, 2009)

Content-based 3D object retrieval using 2D views. - Thibault Napoléon; Hichem Sahbi (ICIP, 2009)

A Graph Based Approach to Speaker Retrieval in Talk Show Videos with Transcript-Based Supervision. - Yina Han; Guizhong Liu; Hichem Sahbi; Gérard Chollet (PCM, 2009)

Sketch-driven mental 3D object retrieval. - Thibault Napoléon; Hichem Sahbi (Three-Dimensional Image Processing (3DIP) and Applications, 2010)

Context-Based Support Vector Machines for Interconnected Image Annotation. - Hichem Sahbi; Xi Li 001 (ACCV (1), 2010)

TELECOM ParisTech at ImageCLEF 2010 Photo Annotation Task: Combining Tags and Visual Features for Learning-Based Image Annotation. - Hichem Sahbi; Xi Li 001 (CLEF (Notebook Papers/LABs/Workshops), 2010)

Network-dependent kernels for image ranking. - Hichem Sahbi; Jean-Yves Audibert (ICIP, 2010)

Context dependent SVMs for interconnected image network annotation. - Hichem Sahbi; Xi Li 001 (ACM Multimedia, 2010)

From 2D Silhouettes to 3D Object Retrieval: Contributions and Benchmarking. - Thibault Napoléon; Hichem Sahbi (EURASIP J. Image Video Process., 2010)

Spatio-temporal context kernel for activity recognition. - Fei Yuan 003; Hichem Sahbi; Véronique Prinet (ACPR, 2011)

Spatio-Temporal Interest Points Chain (STIPC) for activity recognition. - Fei Yuan 003; Gui-Song Xia; Hichem Sahbi; Véronique Prinet (ACPR, 2011)

Superpixel-based object class segmentation using conditional random fields. - Xi Li 001; Hichem Sahbi (ICASSP, 2011)

Constrained optical flow for aerial image change detection. - Nicolas Bourdis; Denis Marraud; Hichem Sahbi (IGARSS, 2011)

Context-Dependent Kernels for Object Classification. - Hichem Sahbi; Jean-Yves Audibert; Renaud Keriven (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Transductive Kernel Map Learning and Its Application Image Annotation. - Dinh-Phong Vo; Hichem Sahbi (BMVC, 2012)

Transductive inference & kernel design for object class segmentation. - Dinh-Phong Vo; Hichem Sahbi (ICIP, 2012)

Spatio-temporal interaction for aerial video change detection. - Nicolas Bourdis; Denis Marraud; Hichem Sahbi (IGARSS, 2012)

Camera pose estimation using Visual Servoing for aerial video change detection. - Nicolas Bourdis; Denis Marraud; Hichem Sahbi (IGARSS, 2012)

Mid-level features and spatio-temporal context for activity recognition. - Fei Yuan 003; Gui-Song Xia; Hichem Sahbi; Véronique Prinet (Pattern Recognit., 2012)

CNRS - TELECOM ParisTech at ImageCLEF 2013 Scalable Concept Image Annotation Task: Winning Annotations with Context Dependent SVMs. - Hichem Sahbi (CLEF (Working Notes), 2013)

Designing relevant features for visual speech recognition. - Eric Benhaim; Hichem Sahbi; Guillaume Vitte (ICASSP, 2013)

Relevance feedback for satellite image change detection. - Hichem Sahbi (ICASSP, 2013)

Directed Acyclic Graph Kernels for Action Recognition. - Ling Wang; Hichem Sahbi (ICCV, 2013)

Explicit Context-Aware Kernel Map Learning for Image Annotation. - Hichem Sahbi (ICVS, 2013)

Interactive satellite image change detection. - Hichem Sahbi (IGARSS, 2013)

Semantic subspace learning for mental search in satellite images. - Phong D. Vo; Hichem Sahbi (IGARSS, 2013)

Spacious: an interactive mental search interface. - Phong D. Vo; Hichem Sahbi (SIGIR, 2013)

Context-Dependent Logo Matching and Recognition. - Hichem Sahbi; Lamberto Ballan; Giuseppe Serra 001; Alberto Del Bimbo (IEEE Trans. Image Process., 2013)

Nonlinear Cross-View Sample Enrichment for Action Recognition. - Ling Wang; Hichem Sahbi (ECCV Workshops (3), 2014)

Continuous visual speech recognition for multimodal fusion. - Eric Benhaim; Hichem Sahbi; Guillaume Vitte (ICASSP, 2014)

Semi-supervised learning using a graph-based phase field model for imbalanced data set classification. - Aymen El Ghoul; Hichem Sahbi (ICASSP, 2014)

Modeling label dependencies in kernel learning for image annotation. - Phong D. Vo; Hichem Sahbi (ICIP, 2014)

Bags-of-daglets for action recognition. - Ling Wang; Hichem Sahbi (ICIP, 2014)

Network-Dependent Image Annotation Based on Explicit Context-Dependent Kernel Maps. - Hichem Sahbi (ICPR, 2014)

High order graphlets for pattern classification. - Anjan Dutta 001; Hichem Sahbi (ACPR, 2015)

CNRS TELECOM ParisTech at ImageCLEF 2015 Scalable Concept Image Annotation Task: Concept Detection with Blind Localization Proposals. - Hichem Sahbi (CLEF (Working Notes), 2015)

Continuous visual speech recognition for audio speech enhancement. - Eric Benhaim; Hichem Sahbi; Guillaume Vitte (ICASSP, 2015)

Semi supervised deep kernel design for image annotation. - Mingyuan Jiu; Hichem Sahbi (ICASSP, 2015)

Contextual kernel map learning for scene transduction. - Phong D. Vo; Hichem Sahbi (ICIP, 2015)

Discriminant canonical correlation analysis for interactive satellite image change detection. - Hichem Sahbi (IGARSS, 2015)

ImageCLEF annotation with explicit context-aware kernel maps. - Hichem Sahbi (Int. J. Multim. Inf. Retr., 2015)

CNRS TELECOM ParisTech at ImageCLEF 2016 Scalable Concept Image Annotation Task: Overcoming the Scarcity of Training Data. - Hichem Sahbi (CLEF (Working Notes), 2016)

Laplacian deep kernel learning for image annotation. - Mingyuan Jiu; Hichem Sahbi (ICASSP, 2016)

Deep kernel map networks for image annotation. - Mingyuan Jiu; Hichem Sahbi (ICASSP, 2016)

Semantic-free attributes for image classification. - Quentin Oliveau; Hichem Sahbi (ICPR, 2016)

Misalignment resilient CCA for interactive satellite image change detection. - Hichem Sahbi (ICPR, 2016)

Attribute learning for ship category recognition in remote sensing imagery. - Quentin Oliveau; Hichem Sahbi (IGARSS, 2016)

Coarse-to-Fine Deep Kernel Networks. - Hichem Sahbi (ICCV Workshops, 2017)

Transductive attributes for ship category recognition. - Quentin Oliveau; Hichem Sahbi (IGARSS, 2017)

High Order Stochastic Graphlet Embedding for Graph-Based Pattern Recognition. - Anjan Dutta 001; Hichem Sahbi (CoRR, 2017)

KCCA-based technique for profile face identification. - Malek Nadil; Feryel Souami; Abdenour Labed; Hichem Sahbi (EURASIP J. Image Video Process., 2017)

Interactive Satellite Image Change Detection With Context-Aware Canonical Correlation Analysis. - Hichem Sahbi (IEEE Geosci. Remote. Sens. Lett., 2017)

Learning Attribute Representations for Remote Sensing Ship Category Classification. - Quentin Oliveau; Hichem Sahbi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Nonlinear Deep Kernel Learning for Image Annotation. - Mingyuan Jiu; Hichem Sahbi (IEEE Trans. Image Process., 2017)

Learning CCA Representations for Misaligned Data. - Hichem Sahbi (ECCV Workshops (4), 2018)

Structured Scene Decoding with Finite State Machines. - Hichem Sahbi (ICIP, 2018)

Deep Context Networks for Image Annotation. - Mingyuan Jiu; Hichem Sahbi; Lin Qi (ICPR, 2018)

From Transductive to Inductive Semi-Supervised Attributes for Ship Category Recognition. - Quentin Oliveau; Hichem Sahbi (IGARSS, 2018)

Semi-Supervised Deep Attribute Networks for Fine-Grained Ship Category Recognition. - Quentin Oliveau; Hichem Sahbi (IGARSS, 2018)

Superpixel Partitioning of Very High Resolution Satellite Images for Large-Scale Classification Perspectives with Deep Convolutional Neural Networks. - Tristan Postadjian; Arnaud Le Bris; Clément Mallet; Hichem Sahbi (IGARSS, 2018)

Domain Adaptation for Large Scale Classification of Very High Resolution Satellite Images with Deep Convolutional Neural Networks. - Tristan Postadjian; Arnaud Le Bris; Hichem Sahbi; Clément Mallet (IGARSS, 2018)

Graph Kernels based on High Order Graphlet Parsing and Hashing. - Anjan Dutta 001; Hichem Sahbi (CoRR, 2018)

Learning Deep Context-Network Architectures for Image Annotation. - Mingyuan Jiu; Hichem Sahbi (CoRR, 2018)

Learning Explicit Deep Representations from Deep Kernel Networks. - Mingyuan Jiu; Hichem Sahbi (CoRR, 2018)

Cascaded Coarse-to-Fine Deep Kernel Networks for Efficient Satellite Image Change Detection. - Hichem Sahbi (CoRR, 2018)

Canonical Correlation Analysis for Misaligned Satellite Image Change Detection. - Hichem Sahbi (CoRR, 2018)

Finite State Machines for Semantic Scene Parsing and Segmentation. - Hichem Sahbi (CoRR, 2018)

MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition. - Ahmed Mazari; Hichem Sahbi (BMVC, 2019)

Distilling the knowledge in CNN for WCE screening tool. - Thomas Garbay; Orlando Chuquimia; Andréa Pinna 001; Hichem Sahbi; Xavier Dray; Bertrand Granado (DASIP, 2019)

Deep Temporal Pyramid Design for Action Recognition. - Ahmed Mazari; Hichem Sahbi (ICASSP, 2019)

Deep Total Variation Support Vector Networks. - Hichem Sahbi (ICCV Workshops, 2019)

Human Action Recognition with Deep Temporal Pyramids. - Ahmed Mazari; Hichem Sahbi (CoRR, 2019)

Human Action Recognition with Multi-Laplacian Graph Convolutional Networks. - Ahmed Mazari; Hichem Sahbi (CoRR, 2019)

Totally Deep Support Vector Machines. - Hichem Sahbi (CoRR, 2019)

Deep Context-Aware Kernel Networks. - Mingyuan Jiu; Hichem Sahbi (CoRR, 2019)

Deep representation design from deep kernel networks. - Mingyuan Jiu; Hichem Sahbi (Pattern Recognit., 2019)

Stochastic Graphlet Embedding. - Anjan Dutta 001; Hichem Sahbi (IEEE Trans. Neural Networks Learn. Syst., 2019)

End-to-End Deep Kernel Map Design for Image Annotation. - Mingyuan Jiu; Hichem Sahbi (ICIP, 2020)

Coarse-to-Fine Aggregation for Cross-Granularity Action Recognition. - Ahmed Mazari; Hichem Sahbi (ICIP, 2020)

Kernel-based Graph Convolutional Networks. - Hichem Sahbi (ICPR, 2020)

Learning Connectivity with Graph Convolutional Networks. - Hichem Sahbi (ICPR, 2020)

Deep hierarchical pooling design for cross-granularity action recognition. - Ahmed Mazari; Hichem Sahbi (CoRR, 2020)

Action Recognition with Deep Multiple Aggregation Networks. - Ahmed Mazari; Hichem Sahbi (CoRR, 2020)

End-to-end training of deep kernel map networks for image classification. - Mingyuan Jiu; Hichem Sahbi (CoRR, 2020)

Image Annotation based on Deep Hierarchical Context Networks. - Mingyuan Jiu; Hichem Sahbi (CoRR, 2020)

Action Recognition with Kernel-based Graph Convolutional Networks. - Hichem Sahbi (CoRR, 2020)

FFNB: Forgetting-Free Neural Blocks for Deep Continual Learning. - Hichem Sahbi; Haoming Zhan (BMVC, 2021)

DHCN: Deep Hierarchical Context Networks For Image Annotation. - Mingyuan Jiu; Hichem Sahbi (ICASSP, 2021)

Learning Laplacians in Chebyshev Graph Convolutional Networks. - Hichem Sahbi (ICCVW, 2021)

Weight Reparametrization for Budget-Aware Network Pruning. - Robin Dupont; Hichem Sahbi; Guillaume Michel (ICIP, 2021)

Lightweight Connectivity In Graph Convolutional Networks For Skeleton-Based Recognition. - Hichem Sahbi (ICIP, 2021)

Frugal Learning for Interactive Satellite Image Change Detection. - Hichem Sahbi; Sebastien Deschamps; Andrei Stoian (IGARSS, 2021)

Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks. - Hichem Sahbi (CoRR, 2021)

Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition. - Hichem Sahbi (CoRR, 2021)

Active learning for interactive satellite image change detection. - Hichem Sahbi; Sebastien Deschamps; Andrei Stoian (CoRR, 2021)

FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning. - Hichem Sahbi; Haoming Zhan (CoRR, 2021)

Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition. - Hichem Sahbi (CoRR, 2021)

Extracting Effective Subnetworks with Gumbel-Softmax. - Robin Dupont; Mohammed Amine Alaoui; Hichem Sahbi; Alice Lebois (ICIP, 2022)

Topologically-Consistent Magnitude Pruning for Very Lightweight Graph Convolutional Networks. - Hichem Sahbi (ICIP, 2022)

Reinforcement-based Display Selection for Frugal Learning. - Sebastien Deschamps; Hichem Sahbi (ICPR, 2022)

Reinforcement-Based Frugal Learning for Interactive Satellite Image Change Detection. - Sebastien Deschamps; Hichem Sahbi (IGARSS, 2022)

Learning Virtual Exemplars for Label-Efficient Satellite Image Change Detection. - Hichem Sahbi; Sebastien Deschamps (IGARSS, 2022)

Extracting Effective Subnetworks with Gumebel-Softmax. - Robin Dupont; Mohammed Amine Alaoui; Hichem Sahbi; Alice Lebois (CoRR, 2022)

Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection. - Hichem Sahbi; Sebastien Deschamps (CoRR, 2022)

Reinforcement-based frugal learning for satellite image change detection. - Sebastien Deschamps; Hichem Sahbi (CoRR, 2022)

Lightweight Graph Convolutional Networks with Topologically Consistent Magnitude Pruning. - Hichem Sahbi (CoRR, 2022)

Frugal Reinforcement-based Active Learning. - Sebastien Deschamps; Hichem Sahbi (CoRR, 2022)

Training Lightweight Graph Convolutional Networks with Phase-field Models. - Hichem Sahbi (CoRR, 2022)

Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection. - Hichem Sahbi; Sebastien Deschamps (CoRR, 2022)

Context-aware deep kernel networks for image annotation. - Mingyuan Jiu; Hichem Sahbi (Neurocomputing, 2022)

Phase-field Models for Lightweight Graph Convolutional Networks. - Hichem Sahbi (CVPR Workshops, 2023)

Adversarial Label-Efficient Satellite Image Change Detection. - Hichem Sahbi; Sebastien Deschamps (IGARSS, 2023)

Deep-Net Inversion for Frugal Satellite Image Change Detection. - Hichem Sahbi; Sebastien Deschamps (IGARSS, 2023)

BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow. - Rémi Marsal; Florian Chabot; Angélique Loesch; Hichem Sahbi (WACV, 2023)

Budget-Aware Graph Convolutional Network Design using Probabilistic Magnitude Pruning. - Hichem Sahbi (CoRR, 2023)

Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning. - Hichem Sahbi (CoRR, 2023)

Frugal Satellite Image Change Detection with Deep-Net Inversion. - Hichem Sahbi; Sebastien Deschamps (CoRR, 2023)

Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection. - Hichem Sahbi (CoRR, 2023)

One-Shot Multi-Rate Pruning of Graph Convolutional Networks. - Hichem Sahbi (CoRR, 2023)

Learning Classwise Untangled Continuums for Conditional Normalizing Flows. - Victor Enescu; Hichem Sahbi (ACCV (5), 2024)

Learning conditionally untangled latent spaces using Fixed Point Iteration. - Victor Enescu; Hichem Sahbi (BMVC, 2024)

Coarse-To-Fine Pruning of Graph Convolutional Networks for Skeleton-Based Recognition. - Hichem Sahbi (CBMI, 2024)

TCMP: End-to-End Topologically Consistent Magnitude Pruning for Miniaturized Graph Convolutional Networks. - Hichem Sahbi (ICASSP, 2024)

DAMP: Distribution-Aware Magnitude Pruning for Budget-Sensitive Graph Convolutional Networks. - Hichem Sahbi (ICASSP, 2024)

One-Shot Multi-Rate Pruning Of Graph Convolutional Networks For Skeleton-Based Recognition. - Hichem Sahbi (ICIP, 2024)

Deep Multi-order Context-Aware Kernel Network for Multi-label Classification. - Mingyuan Jiu; Hailong Zhu; Hichem Sahbi (ICPR (3), 2024)

Semi-structured Pruning of Graph Convolutional Networks for Skeleton-Based Recognition. - Hichem Sahbi (ICPR (2), 2024)

Conditional Normalizing Flows for Nonlinear Remote Sensing Image Augmentation and Classification. - Victor Enescu; Hichem Sahbi (IGARSS, 2024)

Label-Efficient Display-Size Selection for Satellite Image Change Detection. - Hichem Sahbi (IGARSS, 2024)

Sparse Context Transformer for Few-Shot Object Detection. - Mingyuan Jiu; Jie Mei; Hichem Sahbi; Xiaoheng Jiang; Mingliang Xu 001 (PRICAI (4), 2024)

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. - Rémi Marsal; Florian Chabot; Angelique Loesch; William Grolleau; Hichem Sahbi (WACV, 2024)

Few-Shot Object Detection with Sparse Context Transformers. - Jie Mei; Mingyuan Jiu; Hichem Sahbi; Xiaoheng Jiang; Mingliang Xu 001 (CoRR, 2024)

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition. - Hichem Sahbi (CoRR, 2024)

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition. - Hichem Sahbi (CoRR, 2024)

Multi-label Classification using Deep Multi-order Context-aware Kernel Networks. - Mingyuan Jiu; Hailong Zhu; Hichem Sahbi (CoRR, 2024)

Image Classification with Deep Reinforcement Active Learning. - Mingyuan Jiu; Xuguang Song; Hichem Sahbi; Shupan Li; Yan Chen; Wei Guo; Lihua Guo; Mingliang Xu (CoRR, 2024)

Deep multiple aggregation networks for action recognition. - Ahmed Mazari; Hichem Sahbi (Int. J. Multim. Inf. Retr., 2024)

Frugal Incremental Generative Modeling using Variational Autoencoders. - Victor Enescu; Hichem Sahbi (CoRR, 2025)