Conserved enhancer logic controls the notochord expression of vertebrate Brachyury

Autor: Cassie L. Kemmler, Jana Smolikova, Hannah R. Moran, Brandon J. Mannion, Dunja Knapp, Fabian Lim, Anna Czarkwiani, Viviana Hermosilla Aguayo, Vincent Rapp, Olivia E. Fitch, Seraina Bötschi, Licia Selleri, Emma Farley, Ingo Braasch, Maximina Yun, Axel Visel, Marco Osterwalder, Christian Mosimann, Zbynek Kozmik, Alexa Burger

Publikováno v: bioRxiv

The cell type-specific expression of key transcription factors is central to development. Brachyury/T/TBXT is a major transcription factor for gastrulation, tailbud patterning, and notochord formation; however, how its expression is controlled in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5a48f7f01710dc2f9007ba15f249db7
https://europepmc.org/articles/PMC10153258/

Multi-kernel appearance model

Autor: Thibaud Senechal, Lionel Prevost, Vincent Rapp, Kevin Bailly

Publikováno v: Image and Vision Computing
Image and Vision Computing, Elsevier, 2013, 31 (8), pp.542-554
Image and Vision Computing, 2013, 31 (8), pp.542-554

Automatic facial landmarking is a crucial prerequisite of many applications dedicated to face analysis. In this paper we describe a two-step method. In a first step, each landmark position in the image is predicted independently. To achieve fast and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b935419c9c8519c67724e48edb9c34c6
https://hal.archives-ouvertes.fr/hal-01279721

Facial Action Recognition Combining Heterogeneous Features via Multi-Kernel Learning

Autor: Kevin Bailly, Vincent Rapp, Hanan Salam, Thibaud Senechal, Renaud Seguier, Lionel Prevost

Publikováno v: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2012, 42 (4), pp.993-1005. ⟨10.1109/TSMCB.2012.2193567⟩
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Institute of Electrical and Electronics Engineers, 2012, 42 (4), pp.993-1005. ⟨10.1109/TSMCB.2012.2193567⟩

This paper presents our response to the first international challenge on facial emotion recognition and analysis. We propose to combine different types of features to automatically detect action units (AUs) in facial images. We use one multikernel su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e4835027e075ff48e9de2e0f1fe34b4
https://hal.sorbonne-universite.fr/hal-00731864

Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units

Autor: Lionel Prevost, Renaud Seguier, Hanan Salam, Vincent Rapp, Kevin Bailly, Thibaud Senechal

Publikováno v: FG

This study presents a combination of geometric and appearance features used to automatically detect Action Units in face images. We use one multi-kernel SVM for each Action Unit we want to detect. The first kernel matrix is computed using Local Gabor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e039920d9b2f97eb9d915351db5da29
https://doi.org/10.1109/fg.2011.5771363

Multiple kernel learning SVM and statistical validation for facial landmark detection

Autor: Vincent Rapp, Thibaud Senechal, Kevin Bailly, Lionel Prevost

Publikováno v: 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG)
International Conference on Automatic Face & Gesture Recognition (FG)
International Conference on Automatic Face & Gesture Recognition (FG), 2011, Santa Barbara, United States. pp.265-271, ⟨10.1109/FG.2011.5771409⟩
FG

In this paper we present a robust and accurate method to detect 17 facial landmarks in expressive face images. We introduce a new multi-resolution framework based on the recent multiple kernel algorithm. Low resolution patches carry the global inform

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d619cd5993c502fb8502076d5771a350
https://hal.archives-ouvertes.fr/hal-03181841