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X-WR-CALNAME:GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
X-ORIGINAL-URL:https://www.greyc.fr
X-WR-CALDESC:évènements pour GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
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DTSTART:20240331T010000
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DTSTART:20241027T010000
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DTSTART;TZID=Europe/Paris:20241002T140000
DTEND;TZID=Europe/Paris:20241002T150000
DTSTAMP:20260421T200831
CREATED:20240926T103828Z
LAST-MODIFIED:20240926T103828Z
UID:11652-1727877600-1727881200@www.greyc.fr
SUMMARY:Séminaire IMAGE : "Few-Shot Bioacoustic Sound Event Detection and Classification"\, Ilyass Moummad
DESCRIPTION:Nous aurons le plaisir d’écouter Ilass Moummad\, doctorant de l’IMT Atlantique\, Brest.\nIl donnera un séminaire IMAGE  le jeudi 2 octobre à 14h00 en salle de séminaire F-200. \nTitre : « Few-Shot Bioacoustic Sound Event Detection and Classification » \nRésumé :\nBioacoustics is a cross-disciplinary field combining biology and acoustics to study how animals produce\, transmit\, and receive sound. This research provides key insights into animal behavior\, communication\, and environmental interactions. Deep learning has become a powerful tool for decoding complex animal vocalizations\, aiding biodiversity monitoring and conservation efforts. However\, collecting large annotated datasets remains challenging\, particularly for rare species or remote areas. To address this\, few-shot learning offers a solution by training models to detect and classify animal sounds with minimal labeled data. Additionally\, self-supervised learning can leverage easily collectible\, unlabeled animal sound data to learn representations without the need for extensive annotations. We address these challenges by utilizing recent advancements in representation learning\, particularly contrastive learning. Our experiments on public benchmarks demonstrate the effectiveness of contrastive learning in improving generalization for bioacoustic monitoring. \nBio :\nIlyass Moummad is a PhD student (December 2021 – November 2024) at IMT Atlantique\, Brest\, France. He works under the supervision of Nicolas Farrugia (IMT Atlantique) and is co-supervised by Romain Serizel (Inria Multispeech). Ilyass’s PhD topic is Deep Learning for Bioacoustics\, with an interest in representation learning (both self-supervised and supervised) of animal sounds\, as well as few-shot learning (species sound classification and detection from very few annotated examples).
URL:https://www.greyc.fr/event/seminaire-image-few-shot-bioacoustic-sound-event-detection-and-classification-ilyass-moummad/
LOCATION:ENSICAEN – Batiment F – Salle F-200\, 6 Bd Maréchal Juin\, Caen\, 14050\, France
CATEGORIES:Image,Seminaire Image
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DTSTART;TZID=Europe/Paris:20241017T140000
DTEND;TZID=Europe/Paris:20241017T150000
DTSTAMP:20260421T200831
CREATED:20240929T154443Z
LAST-MODIFIED:20240929T154443Z
UID:11656-1729173600-1729177200@www.greyc.fr
SUMMARY:Séminaire IMAGE : "Human Pose Forecasting for intention anticipation"\, Mathis Dupont
DESCRIPTION:Nous avons le plaisir d’accueillir Mathis Dupont. Il parlera des travaux qu’il a menés lors de son stage de recherche au CEA Paris-Saclay le jeudi 17 octobre à 14h00 en salle de séminaire F-200. \nTitre : « Human Pose Forecasting for intention anticipation » \nRésumé :\nHuman Pose Estimation and Human Pose Forecasting are extensively researched fields with diverse applications\, including autonomous vehicles\, sports analytics\, robotics. During this internship\, we first focused on Human Pose Estimation and developed a novel transformer architecture designed to aggregate prior bone length information ensuring bone length consistency within a subject. This work also led to the introduction of a new metric for more accurately evaluating bone length consistency. In the second phase of this internship\, dedicated to Human Motion Forecasting\, we adapted an existing model to explore the effectiveness of Transformers in this domain. \n 
URL:https://www.greyc.fr/event/seminaire-image-human-pose-forecasting-for-intention-anticipation-mathis-dupont/
LOCATION:ENSICAEN – Batiment F – Salle F-200\, 6 Bd Maréchal Juin\, Caen\, 14050\, France
CATEGORIES:Image,Seminaire Image
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