J
Jean-Philippe Thiran
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 43
Citations - 1899
Jean-Philippe Thiran is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Convolutional neural network & Normalization (image processing). The author has an hindex of 10, co-authored 43 publications receiving 1115 citations. Previous affiliations of Jean-Philippe Thiran include University of Lausanne.
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Journal ArticleDOI
The challenge of mapping the human connectome based on diffusion tractography
Klaus H. Maier-Hein,Peter F. Neher,Jean-Christophe Houde,Marc-Alexandre Côté,Eleftherios Garyfallidis,Jidan Zhong,Maxime Chamberland,Fang-Cheng Yeh,Ying-Chia Lin,Qing Ji,Wilburn E. Reddick,John O. Glass,David Qixiang Chen,Yuanjing Feng,Chengfeng Gao,Ye Wu,Jieyan Ma,H Renjie,Qiang Li,Carl-Fredrik Westin,Samuel Deslauriers-Gauthier,J. Omar Ocegueda Gonzalez,Michael Paquette,Samuel St-Jean,Gabriel Girard,François Rheault,Jasmeen Sidhu,Chantal M. W. Tax,Fenghua Guo,Hamed Y. Mesri,Szabolcs David,Martijn Froeling,Anneriet M. Heemskerk,Alexander Leemans,Arnaud Boré,Basile Pinsard,Christophe Bedetti,Matthieu Desrosiers,Simona M. Brambati,Julien Doyon,Alessia Sarica,Roberta Vasta,Antonio Cerasa,Aldo Quattrone,Jason D. Yeatman,Ali R. Khan,Wes Hodges,Simon Alexander,David Romascano,Muhamed Barakovic,Anna Auría,Oscar Esteban,Alia Lemkaddem,Jean-Philippe Thiran,Hasan Ertan Cetingul,Benjamin L. Odry,Boris Mailhe,Mariappan S. Nadar,Fabrizio Pizzagalli,Gautam Prasad,Julio E. Villalon-Reina,Justin Galvis,Paul M. Thompson,Francisco De Santiago Requejo,Pedro Luque Laguna,Luis Miguel Lacerda,Rachel Barrett,Flavio Dell'Acqua,Marco Catani,Laurent Petit,Emmanuel Caruyer,Alessandro Daducci,Tim B. Dyrby,Tim Holland-Letz,Claus C. Hilgetag,Bram Stieltjes,Maxime Descoteaux +76 more
TL;DR: The encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent) is reported, however, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups.
Proceedings ArticleDOI
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
TL;DR: This work presents a new dataset for form understanding in noisy scanned documents (FUNSD) that aims at extracting and structuring the textual content of forms, and is the first publicly available dataset with comprehensive annotations to address FoUn task.
Proceedings ArticleDOI
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
Mohammad Saeed Rad,Behzad Bozorgtabar,Urs-Viktor Marti,Max Basler,Hazim Kemal Ekenel,Jean-Philippe Thiran +5 more
TL;DR: In this paper, the authors optimize a deep network-based decoder with a targeted objective function that penalizes images at different semantic levels using the corresponding terms, which results in more realistic textures and sharper edges.
Posted ContentDOI
Tractography-based connectomes are dominated by false-positive connections
Klaus H. Maier-Hein,Peter F. Neher,Jean-Christophe Houde,Marc-Alexandre Côté,Eleftherios Garyfallidis,Jidan Zhong,Maxime Chamberland,Fang-Cheng Yeh,Ying-Chia Lin,Qing Ji,Wilburn E. Reddick,John O. Glass,David Qixiang Chen,Yuanjing Feng,Chengfeng Gao,Ye Wu,Jieyan Ma,H Renjie,Qiang Li,Carl-Fredrik Westin,Samuel Deslauriers-Gauthier,J. Omar Ocegueda Gonzalez,Michael Paquette,Samuel St-Jean,Gabriel Girard,François Rheault,Jasmeen Sidhu,Chantal M. W. Tax,Fenghua Guo,Hamed Y. Mesri,Szabolcs David,Martijn Froeling,Anneriet M. Heemskerk,Alexander Leemans,Arnaud Boré,Basile Pinsard,Christophe Bedetti,Matthieu Desrosiers,Simona M. Brambati,Julien Doyon,Alessia Sarica,Roberta Vasta,Antonio Cerasa,Aldo Quattrone,Jason D. Yeatman,Ali R. Khan,Wes Hodges,Simon Alexander,David Romascano,Muhamed Barakovic,Anna Auría,Oscar Esteban,Alia Lemkaddem,Jean-Philippe Thiran,Hasan Ertan Cetingul,Benjamin L. Odry,Boris Mailhe,Mariappan S. Nadar,Fabrizio Pizzagalli,Gautam Prasad,Julio E. Villalon-Reina,Justin Galvis,Paul M. Thompson,Francisco De Santiago Requejo,Pedro Luque Laguna,Luis Miguel Lacerda,Rachel Barrett,Flavio Dell'Acqua,Marco Catani,Laurent Petit,Emmanuel Caruyer,Alessandro Daducci,Tim B. Dyrby,Tim Holland-Letz,Claus C. Hilgetag,Bram Stieltjes,Maxime Descoteaux +76 more
TL;DR: The results demonstrate fundamental ambiguities inherent to tract reconstruction methods based on diffusion orientation information, with critical consequences for the approach of diffusion tractography in particular and human connectivity studies in general.
Proceedings ArticleDOI
Combining LiDAR space clustering and convolutional neural networks for pedestrian detection
TL;DR: In this article, LiDAR data is utilized to generate region proposals by processing the three dimensional point cloud that it provides and these candidate regions are then further processed by a state-of-the-art CNN classifier that has been fine-tuned for pedestrian detection.