Positions and Visits
Currently: Senior CNRS Researcher (and HDR) at the
LIP6 Lab, UPMC, Sorbonne University France.
2007-2017: Senior CNRS Researcher (and HDR) at the
LTCI Lab, TELECOM ParisTech, France.
2006-2007 Senior Research Associate at ENPC (as Chargé de Recherche),
Certis Lab, ENPC (joint with ENS-ULM and INRIA-Sophia) , France.
2005-2006 Research associate at the
Machine Intelligence Lab, Cambridge University, UK.
2004-2005 Research assistant at INRIA-Rocquencourt, France.
2003-2004 Post doctoral fellow at the Fraunhofer Gesellschaft (GMD Institute), Darmstadt, Germany.
2000-2003 PhD. Candidate with professor Donald Geman , INRIA
Rocquencourt, France (defense 07 April 03.)
2001-2002 Invited visiting PhD student at the Center for Imaging Science,
Johns Hopkins University, (December 2001 and September 2002)
2009 Invited visiting associate professor at the Institute of Automation,
Chinese Academy of Science, Beijing, China (October 2009)
2012 Invited visiting researcher at the "Google Faculty Summit", Google, London, UK (September 2012)
News
- IEEE International Conference on Image Processing (ICIP), 2022 -- Area Chair
- RFIAP 2022 -- Pattern Recognition, Image, Learning and Perception Conference (PC member)
- IEEE International Conference on Image Processing (ICIP), 2021 -- Session Chair; Session Machine learning for image and video analysis, synthesis, and retrieval
- IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2021 -- Session Chair; Session Neural Networks for Clustering and Classification
- IEEE International Conference on Image Processing (ICIP), 2021 -- Area Chair
- IEEE International Conference on Image Processing (ICIP), 2020 -- Session Chair (session "Machine Learning for Recognition in Images and Videos II", oct 2020)
- Journal of Imaging (currently) -- (Associate Editor, Editorial Board member).
- IEEE International Conference on Image Processing (ICIP), 2020 -- Area Chair
- RFIAP 2020 -- Pattern Recognition, Image, Learning and Perception Conference (PC member)
- Recent PhD thesis Jury Memberships, 2019-2020 --- (Rapporteur, Examinateur, ...)
- IEEE Transactions on Image Processing (currently) -- IEEE SPS Journal (Associate Editor, Editorial Board member).
- Call for book editors in Image and Video Retrieval, ISTE/Wiley (2 books already launched: one in remote sensing and another one in biometry, more to come) (see call)
- IEEE International Conference on Image Processing (ICIP), 2019 -- Area Chair of the theme "Object Recognition and Classification"
- IEEE International Conference on Image Processing (ICIP), 2019 -- Session Chair (session "action recognition", sep 2019)
- IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2019 -- Session Chair (session "retrieval", may 2019)
Selected Talks and Lectures
- Deep learning and visual recognition lecture (video), invited speaker at the Deep Learning Workshop, nov 2018 (slides in english: PDF)
- Introduction to statistical learning and kernel methods, invited speaker at the Machine Learning Summer School (AMLSS), june 2018 (slides in english: PDF talk I and PDF talk II)
- Finite state machines for structured scene decoding (video in english), at RLCO - NIPS (NeurIPS), dec 2014
- All Talks
Committees, Memberships, Scientific and Administrative Responsibilities
- IEEE International Conference on Image Processing (ICIP), 2021 -- Session Chair; Session Machine learning for image and video analysis, synthesis, and retrieval
- IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2021 -- Session Chair; Session Neural Networks for Clustering and Classification
- IEEE International Conference on Image Processing (ICIP), 2021 -- Area Chair
- IEEE International Conference on Image Processing (ICIP), 2020 -- Session Chair (session "Machine Learning for Recognition in Images and Videos II", oct 2020)
- IEEE International Conference on Image Processing (ICIP), 2020 -- Area Chair
- RFIAP 2020 -- Pattern Recognition, Image, Learning and Perception Conference (PC member)
- IEEE Transactions on Image Processing (currently) -- IEEE SPS Journal (Associate Editor, Editorial Board member).
- Journal of Imaging (currently) -- (Associate Editor, Editorial Board member).
- IEEE International Conference on Image Processing (ICIP), 2019 -- Area Chair of the theme "Object Recognition and Classification"
- IEEE International Conference on Image Processing (ICIP), 2019 -- Session Chair (session "action recognition", sep 2019)
- IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2019 -- Session Chair (may 2019)
- ISTE/Wiley, SCIENCE, 2018-now -- Editorial Board member of the "SCIENCE Project" and Area Chair of the theme "Advances and Trends in Image and Video Retrieval".
- Signal Processing: Image Communication 2017-now -- Elsevier Journal (Associate Editor, Editorial Board member).
- ANR MLVIS 2012-2016 -- ANR (French National Research Agency) Project in Machine Learning for Visual Information Search (ANR national project leader; see participant names)
- RFIAP 2018 -- Pattern Recognition, Image, Learning and Perception Conference (PC member)
- RFIA 2016, RFIA 2008 -- Pattern Recognition and Artificial Intelligence Conference (PC member).
- ECML 2008 -- European Conference on Machine Learning (PC member).
- ECCV 2012 -- ECCV Workshop on Web-scale Vision and Social Media (PC member).
- IGARSS 2013, -- IEEE Geo-science and Remote Sensing Symposium (Session chair).
- ICIP 2009, ICIP 2012 -- IEEE International Conference on Image Processing (Session chair).
- CVPR 2009-now -- IEEE Computer Vision and Pattern Recognition (Regularly invited and serving as Reviewer and PC).
- ICCV 2009-now -- IEEE International Conference on Computer Vision (Regularly invited and serving as Reviewer and PC).
- ECCV 2010-now -- European Conference on Computer Vision (Regularly invited and serving as Reviewer and PC).
- CS CNAM Paris 2019, -- Associate professor recruitment committee (invited committee member).
- CS UPMC Paris 2018, -- Doctoral Student recruitment committee at EDITE doctoral School (invited committee member).
- CS INSA Lyon 2018, -- Associate professor recruitment committee (invited committee member).
- CS UPMC 2009, CS UPMC 2010 -- Associate professor recruitment committee (invited committee member).
- CS CNRS 2009, -- Chaire CNRS Associate professor recruitment committee (invited committee member).
- CS Telecom ParisTech 2008, -- Associate professor recruitment committee (invited committee member).
- PhD Thesis committees 2010-now -- PhD thesis jury memberships.
- GIS 2009-2011 -- Groupe d'Interessement Scientifique between LIP6/UPMC and LTCI/Telecom ParisTech (Elected as a member and coordinator of the Machine Learning and Information retrieval theme).
- MLCV 2008-2009 -- Paristech Machine Learning and Computer Vision seminar (Founder and organizer).
AWARDS
Research Interest
- Statistical Machine Learning:
manifold learning and graph based inference, kernel methods and kernel design.
- Deep Learning: deep kernel learning, deep representation and attribute learning.
- Coarse to Fine Testing:
hierarchy of classifiers for object detection in vision.
- Clustering:
fuzzy approach, Gibbs distributions and simulated annealing.
- Generalization Bounds: model selection and parameter estimation.
Applications
- Scene Understanding in Still Images and Video : Remote Sensing, Object Class Segmentation, Image Annotation, Event Detection, Action Recognition, Remote Sensing Change Detection.
- Image
Indexing and Retrieval: Indexing, Database Categorization, Shape Retrieval, Relevance Feedback, 2D to 3D Object Retrieval, Remote Sensing Image Search, Image Search in Social Networks.
- Biometrics:
Face Detection and Recognition, Lip Reading and Visual Speech Recognition.
- Statistical
machine translation: Statistical Learning for Speech translation (former work)
- Digital image watermarking:
Authentication of Face Images (former work).
- 3D Solid Modeling: Constructive Solid Geometry, Object Composition, Boundary Representation, Lazy Computation (Former work).
Some Selected Publications (Rank A/A+ conferences, ref journals, Best Paper Award publications ...)
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M. Jiu and H. Sahbi. Deep Representation Design from Deep Kernel Networks,
(PDF) Pattern Recognition (PR, volume 88), april 2019.
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A. Dutta and H. Sahbi. Stochastic Graphlet Embedding,
(PDF) IEEE Transactions on Neural Networks and Learning Systems, (IEEE TNNLS), 2019.
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T. Postadjian, A. Le_Bris, H. Sahbi, C. Mallet. Classification a tres large echelle d'images satellites a tres haute resolution spatiale par reseaux de neurones convolutifs,
(PDF) Revue Francaise de Photogrammetrie et de Teledetection, 217-218, pp.73-86, 2018.
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T. Postadjian, A. Le_Bris, H. Sahbi, C. Mallet. Superpixel Partitioning of Very High Resolution Satellite Images for Large-Scale Classification Perspectives with Deep Convolutional Neural Networks,
(PDF) the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 217-218, pp.73-86, 2018.
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H. Sahbi. Interactive Satellite Image Change Detection with Context-Aware Canonical Correlation Analysis,
(PDF) the IEEE Geoscience and Remote Sensing (IEEE GRSL, volume 14, issue 5), may 2017.
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Q. Oliveau and H. Sahbi. Learning Attribute Representations for Remote Sensing Ship Category Classification,
(PDF) the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS, volume 10, issue 6), june 2017.
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Q. Oliveau and H. Sahbi. Transductive attributes for ship category recognition,
(PDF) the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.
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T. Postadjian, A. Le_Bris, H. Sahbi, C. Mallet. Investigating the potential of deep neural networks for large-scale classification of very high resolution satellite images,
(PDF) the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.
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M. Jiu and H. Sahbi. Nonlinear Deep Kernel Learning for Image Annotation,
(PDF) In the IEEE Transactions on Image Processing (IEEE TIP, volume 26, issue 4), april 2017.
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Q. Oliveau and H. Sahbi. Attribute learning for ship category recognition in remote sensing imagery,
(PDF) the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016.
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H. Sahbi. ImageCLEF annotation with explicit context-aware kernel maps
(PDF) In International Journal of Multimedia Information Retrieval (IJMIR, Springer), 2015.
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H. Sahbi. Discriminant canonical correlation analysis for interactive satellite image change detection,
(PDF) the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015.
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G-V. Gadhiraju, H. Sahbi, B. Banarjee and K-M Buddhiraju. Supervised Change Detection in Satellite Imagery Using Superpixels and Relevance Feedback
(PDF) In GEOMATICA Journal, 68(1): 5-14, 2014.
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H. Sahbi. Finite State Machines for Structured Scene Decoding
(PDF) In RLCO, Neural Information Processing Systems (NIPS/NeurIPS: rank A/A+ conf), 2014.
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P. Vo and H. Sahbi. Semantic Subspace Learning for Mental Search in Satellite Images
(PDF) (Best Paper Award Nomination), The IEEE International Geoscience and remote sensing symposium, IGARSS, July 2013.
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H. Sahbi, L. Ballan, G. Serra and A. Del Bimbo. Context-Dependent Logo Matching and Recognition
(PDF) In IEEE Transactions on Image Processing, volume 22, number 3, pages 1018-1031, 2013.
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P. Vo and H. Sahbi. Spacious: an interactive mental search interface.
(DL) The 36th International ACM SIGIR conference on research and development in Information Retrieval, (SIGIR: rank A/A+ conf in information retrieval ), July 2013.
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L. Wang and H. Sahbi. Directed Acyclic Graph Kernels for Action Recognition. (PDF) In the proceedings of the International Conference on Computer Vision (ICCV: rank A/A+ conf in computer vision), December 2013.
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N. Bourdis, D. Marraud and H. Sahbi. Spatio-Temporal Interaction For Aerial Video Change Detection,
(PDF) the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012.
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N. Bourdis, D. Marraud and H. Sahbi. Camera Pose Estimation Using Visual Servoing for Aerial Video Change Detection,
(PDF) the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012.
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N. Bourdis, D. Marraud and H. Sahbi. Constrained Optical Flow for Aerial Image Change Detection,
(PDF) the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2011.
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H. Sahbi and X. Li. Context Dependent SVMs for Interconnected Image Network Annotation. (PDF) In the proceedings of (ACM MULTIMEDIA: rank A/A+ conf in multimedia and image search ), October 2010.
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H. Sahbi and X. Li. Context Based Support Vector Machines for Interconnected Image Annotation (oral). (PDF). ("The Saburo Tsuji" Best
Regular Paper Award). In the Asian Conference on Computer Vision (ACCV), 2010. (oral paper acceptance rate, 4.7%)
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H. Sahbi, J-Y Audibert, J. Rabarisoa and R. Keriven. Object Matching
and Recognition Using Context Dependent Similarity Kernels (Best
Regular Paper Award by Queen's Marry University of London), In the
proceedings of IEEE Workshop on Content Based Multimedia Indexing
(CBMI), June 2008.
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H. Sahbi, J-Y. Audibert, J. Rabarisoa and R. Keriven. Context-Dependent
Kernel Design for Object Matching and Recognition. (PDF), In the proceedings of
IEEE Conference on Computer Vision and Pattern Recognition (CVPR: rank A/A+ conf in computer vision), June
2008.
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H. Sahbi, P. Etyngier, J-Y Audibert and R. Keriven. Manifold Learning
using Robust Graph Laplacian for Interactive Image Retrieval. (PDF), In the
proceedings of IEEE Conference on Computer Vision and Pattern
Recognition (CVPR: rank A/A+ conf in computer vision), June 2008.
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H. Sahbi, J-Y. Audibert, J. Rabarisoa and R. Keriven. Robust Matching
and Recognition using Context-Dependent Kernels. (PDF), In the proceedings of
International Conference on Machine Learning (ICML: rank A/A+ conf in machine learning), July 2008.
- H. Sahbi, J-Y. Audibert and R. Keriven. Context-Dependent Kernels for Object Classification (PDF), (CS Digital Library). In Pattern Analysis and Machine Intelligence (PAMI: ref journal in computer vision and learning ), number 33, volume 4, April 2011.
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H. Sahbi. Kernel PCA for Similarity Invariant Shape Recognition. (PDF), (DL)
Neurocomputing, Volume/Issue 70/16-18 pages 3034-3045,
November 2007.
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H. Sahbi, J-Y Audibert and R. Keriven. Graph-Cut Transducers for
Relevance feedback in Content Based Image Retrieval. (PDF) In the proceedings
of the International Conference on Computer Vision (ICCV: rank A/A+ conf in computer vision), October 2007.
- H. Sahbi and D. Geman. A hierarchy of support vector machines for Face detection. (JMLR PDF link) Journal of Machine Learning Research (JMLR: ref journal in machine learning), Volume 7, 2087--2123, October, 2006.
- All Publications
- Google scholar
- DBLP
SOFTWARES and Databases
Past and Current Projects
- CEA bilateral project (2021-2024): Scene flow estimation using deep learning (global principal investigator).
- Thales bilateral project (2019-2023): Active learning for remote sensing object recognition (global principal investigator).
- Netatmo bilateral project (2019-2023): Efficient deep learning (global principal investigator).
- XXII bilateral project (2019-2023): Deep continual learning (global principal investigator).
- DCNS bilateral project (2015-2018): Attribute and deep learning for remote sensing ship category recognition (global principal investigator).
- ANR MLVIS (2012-2016): Statistical learning for image annotation (global principal investigator).
- Digiteo Project REMI (2012-2015): Machine learning for social networks (local principal investigator).
- PARROT bilateral project (2011-2014): Lip reading (global principal investigator).
- CNES Projects VENISE/Varissat (2010-2012): Visualization, exploration, navigation in remote sensing satellite images (global principal investigator).
- EADS bilateral project (2010-2013): Remote sensing change detection (global principal investigator).
- Digiteo Project RELIR (2010-2013): Relational machine learning for information retrieval (local principal investigator).
- Digiteo Project VisuNet (2010-2013): Visual information recognition and search in camera networks (local principal investigator).
- EIFFEL-French-Chinese bilateral project (2010-2011): action recognition in videos (global principal investigator).
- ANR AVEIR (2007-2010) : Image Annotation and Retrieval (local principal investigator)
- ANR SURF (2006-2009): Statistical Learning (project participant).
- AGILE-DARPA (past project):
speech and statistical machine translation (Partners Cambridge U,
BBN, ISI,
LIMSI, IBM, Stanford, JHU, Edinbrugh,...).
- Sagem (past project):
mental face retrieval.
- MediaWorks (past project): face indexing
and retrieval in video.
Supervised PhD students (as thesis director)
- 2010-2012: Fei Yuan (PhD Student at TELECOM ParisTech in collaboration with NLPR, The Chinese Academy of Science, currently researcher at NLPR ): Graph based techniques for Event Detection and Recognition (thesis defense june 2012)
- 2010-2013: Nicolas Bourdis (CIFRE PhD Student at TELECOM ParisTech and EADS, currently researcher at AIRBUS): remote sensing change detection, (thesis defense, may 2013).
- 2015-2018: Quentin Oliveau (CIFRE PhD Student at TELECOM ParisTech, currently researcher at DCNS Group): Attribute Learning for Remote Sensing Object Recognition (thesis defense, april 2018)
- 2016-2020: Tristan Postadjian (PhD Student between IGN Paris and UPMC SU, currently researcher at Sodexo Group): High Resolution Remote Sensing Satellite Imagery for Soil Occupancy (thesis defense, feb 2020)
- 2017-2020: Ahmed Mazari (PhD Student at LIP6 lab, Sorbonne University): Deep learning for action recognition (thesis defense, sep 2020)
- 2019-now: Haoming Zhan (PhD Student at LIP6 lab, Sorbonne University): Deep continual learning (ongoing)
- 2019-now: Robin Dupont (PhD Student at LIP6 lab, Sorbonne University): Efficient deep learning (ongoing)
- 2019-now: Sebastien Deschamps (PhD Student at LIP6 lab, Sorbonne University): Active learning for remote sensing object recognition (ongoing)
- 2021-now: Remi Marsal (PhD Student at LIP6 lab, Sorbonne University and CEA): Scene flow estimation using deep learning (ongoing)
Supervised post docs (as official postdoc director)
- Oct 2014-Oct 2015: Anjan Dutta (former Post doc at LTCI, Telecom ParisTech, Paris): graph hashing for pattern classification
Supervised and Visiting Students (as Co-Supervisor)
- 2003-2007: Liu Huajian (former PhD
candidate at Fraunhofer IPSI, defense 2007, currently Research Staff at Fraunhofer SIT, Germany ): "object of interest" based image authentication
- 2004-2007: Stefan
Thiemert (Former PhD Candidate at Fraunhofer
IPSI, Germany):
content-based video watermarking
- 2004: Varun Kumta
(M.S. Candidate IIT INDIA currently at
IBM INDIA): Robustness of image retrieval to image watermarking
- 2007: Bhavna Agarwal
(M.S. Candidate from INDIA): Image Matching and Recognition
- 2008: Olivier Le Floch
(B.S Candidate from l'Ecole Polytechnique, Palaiseau): Image Search
- 2007-2008: Jiayu Chen (Former Visiting PhD Student at TELECOM ParisTech from University of Wuhan): Remote Sensing Image Retrieval
- 2005-2006: Khe Chai Sim
(Former Post Doc at Cambridge university moved to A-Star and currently professor at Institute of Digital Media, Singapore ):
System combination for statistical machine translation
- 2006-2007: Patrick Etyngier
(Former PhD. student at Certis, ENPC, France, defense Jan 2008, moved to Philips Paris):
Graph Laplcian for Interactive Image Retrieval
- April-Aug 2012: Surrender Varma (Former PhD vistor during 5 months from IIT INDIA): remote sensing change detection
- 2011-2012: Malek Nadil (Former PhD visitor during 10 months from USTHB Algiers): face processing
- 2012-2014: Emilie Au (PhD Student at LIP6 and TELECOM ParisTech): Learning on graphs
BioSketch
Dr. Hichem Sahbi received his M.S. degree in theoretical computer science
from the University of Paris Sud, in Orsay, France in 1999, and his PhD in
computer vision and machine learning from INRIA/Versailles University,
France in 2003. From 2003-2006 he was a research associate first at the
Fraunhofer Institute in Darmstadt, Germany, and then at the Machine
Intelligence Laboratory at Cambridge University, UK. From 2006-2007, he
was a senior research associate at l'Ecole des Ponts Paris Tech, in Paris.
Since 2007, he has been a CNRS researcher (and HDR) at Telecom
ParisTech and then at UPMC, Sorbonne University, in Paris. Dr. Sahbi has participated in various scientific
committees, industrial, national, and international projects, and he is
the author of many publications. Dr. Sahbi's research interests include
statistical machine and deep learning, remote sensing, computer vision, and image retrieval.
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