Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Personne

Jean-Philippe Thiran

Cette personne a quitté l’EPFL

RecherchePublications Liste des publications : https://scholar.google.com/citations?user=mII-l2cAAAAJ&hl=fr&oi=ao Enseignement et PhD Doctorant·es actuel·les Andrés Le Boeuf Fló, Mutian He, Natalia Pato Montemayor, Jocelyn Philippe, Roser Vinals Terres, Ekin Taskin, Salomé Baup, Tilak Purohit, Sebastian Mayr, Ayoub Tajja, Dario Sciacca, Chenyu Cui, Lina Bacha, Mathieu Benjamin Ruch, Loris Constantin A dirigé les thèses EPFL de Torsten Butz, Meritxell Bach Cuadra, Datong Chen, François Mendels, Eduardo Solanas Vilar, Vlad Popovici, Xavier Bresson, Patric Hagmann, Lisa Jonasson, Gianluca Antonini, Fabien Cardinaux, Roberto Martuzzi, Valérie Duay, Ivana Arsic de Heras Ciechomska, Francisco Javier Sanchez Castro, Julien Meynet, Dragana Viceic, Laura Ioana Gui, Matteo Sorci, Xavier Gigandet, Mihai Gurban, Nawal Houhou, Dominique Zosso, Bénédicte Marie Maréchal Mortamet, Benoit Mory, Tiziano Leidi, Djalel Eddine Meskaldji, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Virginia Estellers Casas, Frank Grégoire Jean de Morsier, Alia Lemkaddem, Alessandra Griffa, Elda Fischi Gomez, Jelena Stamenkovic, Anil Yuce, Pavel Falkovskiy, Martin Proença, Gabriel Louis Cuendet, Anna Auria, Nuri Murat Arar, Mina Bjelogrlic, Tom Hilbert, Marina Zimmermann, Vijay Kartik, Fabian Braun, David Romascano, Adrien Georges Jean Besson, Muhamed Barakovic, Gaëtan Rensonnet, Dimitris Perdios, Mohammad Saeed Rad, Christophe René Joseph Ecabert, Gian Franco Piredda, Jonathan Rafael Patiño Lopez, Guillaume Jaume, Thomas Yu, Francesco La Rosa, Christian Robert Abbet, Alexander Unnervik, Loïc François Andrée Jeanningros, Veronica Ravano, Samuel Beuret, Rémy Marc M Gardier, Baptiste Ghislain Emmanuel Hériard-Dubreuil, Hatef Otroshi Shahreza, Juan Pablo Zuluaga Gomez, Devavrat Tomar, Jankowski Julius Maximilian, Juan Luis Villarreal Haro, Thomas Grégoire Stegmüller, Tobias Löw, Sandra Maria Marcadent, Magali Jonnalagedda-Cattin, Guillaume Marc Georges Vray A co-dirigé les thèses EPFL de Nicolas Fête, Javier Cruz Mota, Bilal Demir Cours Fundamentals of electrical circuits and systems I EE-406 Ce cours propose une introduction au traitement du signal, en mettant l'accent sur la transformation de Fourier, sur l'échantillonnage du signal et la reconstruction de la transformation de Fourier discrète. Image analysis and pattern recognition EE-451 Ce cours donne une introduction aux méthodes principales d'analyse d'images et de reconnaissance des formes. Lab in signal and image processing EE-490(f) Ces séances de laboratoire sont des exercices pratiques axés sur les bases du traitement d'images et de l'apprentissage profond. L'objectif principal est d'apprendre à utiliser certaines bibliothèques importantes de traitement d'images, à savoir OpenCV, NumPy et TensorFlow, pour réaliser des tâches Signaux et systèmes (pour EL) EE-205 Ce cours pose les bases d'un concept essentiel en ingénierie : la notion de système. Plus spécifiquement, le cours présente la théorie des systèmes linéaires invariants dans le temps (SLIT), qui sont largement utilisés pour modéliser aussi bien une réalité physique (par ex. un canal de transmission) TP en technologies de l'information EE-390(c) Se familiariser avec les aspects pratiques des disciplines de l'orientation «Technologies de l'information» Traitement des signaux EE-350 Dans ce cours, nous présentons les méthodes de base du traitement des signaux.

Source officielle

Cours enseignés par cette personne (6)

EE-205: Signaux et systèmes (pour EL)

Ce cours pose les bases d'un concept essentiel en ingénierie : la notion de système. Plus spécifiquement, le cours présente la théorie des systèmes linéaires invariants dans le temps (SLIT), qui sont largement utilisés pour modéliser aussi bien une réalité ...

EE-350: Traitement des signaux

Dans ce cours, nous présentons les méthodes de base du traitement des signaux. ...

EE-406: Fundamentals of electrical circuits and systems I

This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform. ...

Afficher plus

Publications associées (483)

Veuillez noter qu'il ne s'agit pas d'une liste complète des publications de cette personne. Elle inclut uniquement les travaux sémantiquement pertinents. Pour une liste complète, veuillez consulter Infoscience.

Afficher plus

Personnes menant des recherches similaires (44)

Michaël Unser

Pierre Vandergheynst

Pierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education. His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing. He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference. Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.

Hervé Bourlard

Sabine Süsstrunk

Prof. Dr. Sabine Süsstrunk leads the Image and Visual Representation Lab in the School of Computer and Communication Sciences (IC) at EPFL since 1999. From 2015-2020, she was also the first Director of the Digital Humanities Institute (DHI), College of Humanities (CdH). Her main research areas are in computational photography, computational imaging, color image processing and computer vision, machine learning, and computational image quality and aesthetics. Sabine has authored and co-authored over 200 publications, of which 7 have received best paper/demo awards, and holds over 10 patents. Sabine served as chair and/or committee member in many international conferences on image processing, computer vision, and image systems engineering. She is President of the Swiss Science Council SSC, Founding Member and Member of the Board (President 2014-2018) of the EPFL-WISH (Women in Science and Humanities) Foundation, Member of the Board of the SRG SSR (Swiss Radio and Television Corporation), and Member of the Board of Largo Films. She received the IS&T/SPIE 2013 Electronic Imaging Scientist of the Year Award for her contributions to color imaging, computational photography, and image quality, and the 2018 IS&T Raymond C. Bowman and the 2020 EPFL AGEPoly IC Polysphere Awards for excellence in teaching. Sabine is a Fellow of IEEE and IS&T.

Meritxell Bach Cuadra

Mathieu Salzmann

I am a Senior Researcher at EPFL-CVLab, and, since May 2020, an Artificial Intelligence Engineer at ClearSpace (50%). Previously, I was a Senior Researcher and Research Leader in NICTA's computer vision research group. Prior to this, from Sept. 2010 to Jan 2012, I was a Research Assistant Professor at TTI-Chicago, and, from Feb. 2009 to Aug. 2010, a postdoctoral fellow at ICSI and EECS at UC Berkeley under the supervision of Prof. Trevor Darrell. I obtained my PhD in Jan. 2009 from EPFL under the supervision of Prof. Pascal Fua.

Alfio Quarteroni

Of italian nationality, Alfio Quarteroni was born on May 30th 1952. He pursued his studies in mathematics at University of Pavia and at University of Paris VI. In 1986 he was nominated full professor at Catholic University of Brescia, later professor in mathematics at University of Minnesota at Minneapolis and professor in numerical analysis at Politecnico di Milano. He is designated full professor in 1997 and enters into service with EPFL in 1998. At EPFL, he teaches numerical analysis to engineers and mathematicians and holds specialized courses about mathematical modelling and scientific computing for master and PhD students. He had been scientific director of CRS4, plenary speaker of more than two hundred international conferences; he is member of the European Academy of Sciences, the Italian Academy of Sciences, the Lombard Academy of Science and Letters. He is Editor in Chief of two book series (MS&A and Unitext) by Springer, associate editor of 25 international journals. He has been plenary speaker at the International Congress of Mathematicians ICM2006. He had been responsible of several European research networks. His team has carried out the aerodynamic and hydrodynamic simulations for the optimization of Alinghi, the Swiss sailing yacht that has won two editions of the America's Cup in 2003 and 2007.

Aude Billard

Michael Christoph Gastpar

Michael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.

Ali H. Sayed

Ali H. Sayed est doyen de la Faculté des sciences et techniques de l’ingénieur (STI) de l'EPFL, en Suisse, où il dirige également le laboratoire de systèmes adaptatifs. Il a également été professeur émérite et président du département d'ingénierie électrique de l'UCLA. Il est reconnu comme un chercheur hautement cité et est membre de la US National Academy of Engineering. Il est également membre de l'Académie mondiale des sciences et a été président de l'IEEE Signal Processing Society en 2018 et 2019. Le professeur Sayed est auteur et co-auteur de plus de 570 publications et de six monographies. Ses recherches portent sur plusieurs domaines, dont les théories d'adaptation et d'apprentissage, les sciences des données et des réseaux, l'inférence statistique et les systèmes multi-agents, entre autres. Ses travaux ont été récompensés par plusieurs prix importants, notamment le prix Fourier de l'IEEE (2022), le prix de la société Norbert Wiener (2020) et le prix de l'éducation (2015) de la société de traitement des signaux de l'IEEE, le prix Papoulis (2014) de l'Association européenne de traitement des signaux, le Meritorious Service Award (2013) et le prix de la réalisation technique (2012) de la société de traitement des signaux de l'IEEE, le prix Terman (2005) de la société américaine de formation des ingénieurs, le prix de conférencier émérite (2005) de la société de traitement des signaux de l'IEEE, le prix Koweït (2003) et le prix Donald G. Fink (1996) de l'IEEE. Ses publications ont été récompensées par plusieurs prix du meilleur article de l'IEEE (2002, 2005, 2012, 2014) et de l'EURASIP (2015). Pour finir, Ali H. Sayed est aussi membre de l'IEEE, d'EURASIP et de l'American Association for the Advancement of Science (AAAS), l'éditeur de la revue Science.

Afficher plus

Personnes menant des recherches similaires (44)

Meritxell Bach Cuadra

Mathieu Salzmann

Alfio Quarteroni

Aude Billard

Michael Christoph Gastpar

Ali H. Sayed

Afficher plus

Jean-Philippe Thiran

Graph Chatbot

Hierarchical graph representations in digital pathology

Whole-brain structural connectivity in temporal lobe epilepsy: a Diffusion Spectrum Imaging study

Revisiting the T-2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares