Hichem Sahbi

Orcid: 0000-0001-6813-9146

According to our database1, Hichem Sahbi authored at least 154 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
Deep multiple aggregation networks for action recognition.
Int. J. Multim. Inf. Retr., March, 2024

Few-Shot Object Detection with Sparse Context Transformers.
CoRR, 2024

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sparse Context Transformer for Few-Shot Object Detection.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Label-Efficient Display-Size Selection for Satellite Image Change Detection.
Proceedings of the IGARSS 2024, 2024

Conditional Normalizing Flows for Nonlinear Remote Sensing Image Augmentation and Classification.
Proceedings of the IGARSS 2024, 2024

Semi-structured Pruning of Graph Convolutional Networks for Skeleton-Based Recognition.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

DAMP: Distribution-Aware Magnitude Pruning for Budget-Sensitive Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

TCMP: End-to-End Topologically Consistent Magnitude Pruning for Miniaturized Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
One-Shot Multi-Rate Pruning of Graph Convolutional Networks.
CoRR, 2023

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

Frugal Satellite Image Change Detection with Deep-Net Inversion.
CoRR, 2023

Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning.
CoRR, 2023

Budget-Aware Graph Convolutional Network Design using Probabilistic Magnitude Pruning.
CoRR, 2023

BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Deep-Net Inversion for Frugal Satellite Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Adversarial Label-Efficient Satellite Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Phase-field Models for Lightweight Graph Convolutional Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Context-aware deep kernel networks for image annotation.
Neurocomputing, 2022

Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection.
CoRR, 2022

Training Lightweight Graph Convolutional Networks with Phase-field Models.
CoRR, 2022

Frugal Reinforcement-based Active Learning.
CoRR, 2022

Lightweight Graph Convolutional Networks with Topologically Consistent Magnitude Pruning.
CoRR, 2022

Reinforcement-based frugal learning for satellite image change detection.
CoRR, 2022

Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection.
CoRR, 2022

Extracting Effective Subnetworks with Gumebel-Softmax.
CoRR, 2022

Learning Virtual Exemplars for Label-Efficient Satellite Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Reinforcement-Based Frugal Learning for Interactive Satellite Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Reinforcement-based Display Selection for Frugal Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Topologically-Consistent Magnitude Pruning for Very Lightweight Graph Convolutional Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Extracting Effective Subnetworks with Gumbel-Softmax.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

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

FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning.
CoRR, 2021

Active learning for interactive satellite image change detection.
CoRR, 2021

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

Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks.
CoRR, 2021

Frugal Learning for Interactive Satellite Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Lightweight Connectivity In Graph Convolutional Networks For Skeleton-Based Recognition.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Weight Reparametrization for Budget-Aware Network Pruning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning Laplacians in Chebyshev Graph Convolutional Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

DHCN: Deep Hierarchical Context Networks For Image Annotation.
Proceedings of the IEEE International Conference on Acoustics, 2021

FFNB: Forgetting-Free Neural Blocks for Deep Continual Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Action Recognition with Kernel-based Graph Convolutional Networks.
CoRR, 2020

Image Annotation based on Deep Hierarchical Context Networks.
CoRR, 2020

End-to-end training of deep kernel map networks for image classification.
CoRR, 2020

Action Recognition with Deep Multiple Aggregation Networks.
CoRR, 2020

Deep hierarchical pooling design for cross-granularity action recognition.
CoRR, 2020

Learning Connectivity with Graph Convolutional Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Kernel-based Graph Convolutional Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Coarse-to-Fine Aggregation for Cross-Granularity Action Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2020

End-to-End Deep Kernel Map Design for Image Annotation.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Stochastic Graphlet Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2019

Deep representation design from deep kernel networks.
Pattern Recognit., 2019

Deep Context-Aware Kernel Networks.
CoRR, 2019

Totally Deep Support Vector Machines.
CoRR, 2019

Human Action Recognition with Multi-Laplacian Graph Convolutional Networks.
CoRR, 2019

Human Action Recognition with Deep Temporal Pyramids.
CoRR, 2019

Deep Total Variation Support Vector Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Deep Temporal Pyramid Design for Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Distilling the knowledge in CNN for WCE screening tool.
Proceedings of the 2019 Conference on Design and Architectures for Signal and Image Processing, 2019

MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Finite State Machines for Semantic Scene Parsing and Segmentation.
CoRR, 2018

Canonical Correlation Analysis for Misaligned Satellite Image Change Detection.
CoRR, 2018

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

Learning Explicit Deep Representations from Deep Kernel Networks.
CoRR, 2018

Learning Deep Context-Network Architectures for Image Annotation.
CoRR, 2018

Graph Kernels based on High Order Graphlet Parsing and Hashing.
CoRR, 2018

Domain Adaptation for Large Scale Classification of Very High Resolution Satellite Images with Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Superpixel Partitioning of Very High Resolution Satellite Images for Large-Scale Classification Perspectives with Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Semi-Supervised Deep Attribute Networks for Fine-Grained Ship Category Recognition.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

From Transductive to Inductive Semi-Supervised Attributes for Ship Category Recognition.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Deep Context Networks for Image Annotation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Structured Scene Decoding with Finite State Machines.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Learning CCA Representations for Misaligned Data.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Nonlinear Deep Kernel Learning for Image Annotation.
IEEE Trans. Image Process., 2017

Learning Attribute Representations for Remote Sensing Ship Category Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

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

KCCA-based technique for profile face identification.
EURASIP J. Image Video Process., 2017

High Order Stochastic Graphlet Embedding for Graph-Based Pattern Recognition.
CoRR, 2017

Transductive attributes for ship category recognition.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Coarse-to-Fine Deep Kernel Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Attribute learning for ship category recognition in remote sensing imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Misalignment resilient CCA for interactive satellite image change detection.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Semantic-free attributes for image classification.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep kernel map networks for image annotation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Laplacian deep kernel learning for image annotation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

CNRS TELECOM ParisTech at ImageCLEF 2016 Scalable Concept Image Annotation Task: Overcoming the Scarcity of Training Data.
Proceedings of the Working Notes of CLEF 2016, 2016

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

Discriminant canonical correlation analysis for interactive satellite image change detection.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Contextual kernel map learning for scene transduction.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Semi supervised deep kernel design for image annotation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Continuous visual speech recognition for audio speech enhancement.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

CNRS TELECOM ParisTech at ImageCLEF 2015 Scalable Concept Image Annotation Task: Concept Detection with Blind Localization Proposals.
Proceedings of the Working Notes of CLEF 2015, 2015

High order graphlets for pattern classification.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Network-Dependent Image Annotation Based on Explicit Context-Dependent Kernel Maps.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Bags-of-daglets for action recognition.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Modeling label dependencies in kernel learning for image annotation.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Semi-supervised learning using a graph-based phase field model for imbalanced data set classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

Continuous visual speech recognition for multimodal fusion.
Proceedings of the IEEE International Conference on Acoustics, 2014

Nonlinear Cross-View Sample Enrichment for Action Recognition.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Context-Dependent Logo Matching and Recognition.
IEEE Trans. Image Process., 2013

Spacious: an interactive mental search interface.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Semantic subspace learning for mental search in satellite images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Interactive satellite image change detection.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Explicit Context-Aware Kernel Map Learning for Image Annotation.
Proceedings of the Computer Vision Systems - 9th International Conference, 2013

Directed Acyclic Graph Kernels for Action Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Relevance feedback for satellite image change detection.
Proceedings of the IEEE International Conference on Acoustics, 2013

Designing relevant features for visual speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

CNRS - TELECOM ParisTech at ImageCLEF 2013 Scalable Concept Image Annotation Task: Winning Annotations with Context Dependent SVMs.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012
Mid-level features and spatio-temporal context for activity recognition.
Pattern Recognit., 2012

Camera pose estimation using Visual Servoing for aerial video change detection.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Spatio-temporal interaction for aerial video change detection.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Transductive inference & kernel design for object class segmentation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Transductive Kernel Map Learning and Its Application Image Annotation.
Proceedings of the British Machine Vision Conference, 2012

2011
Context-Dependent Kernels for Object Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Constrained optical flow for aerial image change detection.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Superpixel-based object class segmentation using conditional random fields.
Proceedings of the IEEE International Conference on Acoustics, 2011

Spatio-Temporal Interest Points Chain (STIPC) for activity recognition.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Spatio-temporal context kernel for activity recognition.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
From 2D Silhouettes to 3D Object Retrieval: Contributions and Benchmarking.
EURASIP J. Image Video Process., 2010

Context dependent SVMs for interconnected image network annotation.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Network-dependent kernels for image ranking.
Proceedings of the International Conference on Image Processing, 2010

TELECOM ParisTech at ImageCLEF 2010 Photo Annotation Task: Combining Tags and Visual Features for Learning-Based Image Annotation.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

Context-Based Support Vector Machines for Interconnected Image Annotation.
Proceedings of the Computer Vision - ACCV 2010, 2010

Sketch-driven mental 3D object retrieval.
Proceedings of the Three-Dimensional Image Processing (3DIP) and Applications, 2010

2009
A Graph Based Approach to Speaker Retrieval in Talk Show Videos with Transcript-Based Supervision.
Proceedings of the Advances in Multimedia Information Processing, 2009

Content-based 3D object retrieval using 2D views.
Proceedings of the International Conference on Image Processing, 2009

Multi-view object matching and tracking using canonical correlation analysis.
Proceedings of the International Conference on Image Processing, 2009

Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

TELECOM ParisTech at ImageClef 2009: Large Scale Visual Concept Detection and Annotation Task.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

2008
A particular Gaussian mixture model for clustering and its application to image retrieval.
Soft Comput., 2008

Robust matching and recognition using context-dependent kernels.
Proceedings of the Machine Learning, 2008

Graph laplacian for interactive image retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2008

Manifold learning using robust Graph Laplacian for interactive image search.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Context-dependent kernel design for object matching and recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches.
Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

TELECOMParisTech at ImageClefphoto 2008: Bi-Modal Text and Image Retrieval with Diversity Enhancement.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

Object recognition and retrieval by context dependent similarity kernels.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

2007
Kernel PCA for similarity invariant shape recognition.
Neurocomputing, 2007

Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Consensus Network Decoding for Statistical Machine Translation System Combination.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
A Hierarchy of Support Vector Machines for Pattern Detection.
J. Mach. Learn. Res., 2006

Using entropy for image and video authentication watermarks.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VIII, 2006

2005
Applying interest operators in semi-fragile video watermarking.
Proceedings of the Security, Steganography, and Watermarking of Multimedia Contents VII, 2005

Validity of Fuzzy Clustering Using Entropy Regularization.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
Automatic textual annotation of video news based on semantic visual object extraction.
Proceedings of the Storage and Retrieval Methods and Applications for Multimedia 2004, 2004

Fuzzy Clustering: Consistency of Entropy Regularization.
Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

2002
Coarse-to-Fine Support Vector Classifiers for Face Detection.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Face detection using coarse-to-fine support vector classifiers.
Proceedings of the 2002 International Conference on Image Processing, 2002

Robust Face Recognition Using Dynamic Space Warping.
Proceedings of the Biometric Authentication, 2002

Coarse to Fine Face Detection Based on Skin Color Adaption.
Proceedings of the Biometric Authentication, 2002

2001
Robust matching by dynamic space warping for accurate face recognition.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
From <i>coarse to fine</i> skin and face detection.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000


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