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- Université de RennesFR228 papers
- Centre National de la Recherche ScientifiqueFR206 papers
- Institut national de recherche en sciences et technologies du numériqueFR176 papers
- Université de Bretagne SudFR63 papers
- Institut für Regionale Innovation und SozialforschungDE46 papers
- Centre Inria de l'Université de RennesFR43 papers
- Institut National des Sciences Appliquées de RennesFR32 papers
- Université Rennes 2FR19 papers
- Université Paris-SaclayFR15 papers
- IMT AtlantiqueFR14 papers
- École PolytechniqueFR13 papers
- École Normale Supérieure Paris-SaclayFR11 papers
535 papers
Antichains for Concurrent Parameterized Games
Nathalie Bertrand, Patricia Bouyer, Gaëtan Staquet
Concurrent parameterized games involve a fixed yet arbitrary number of players. They are described by finite arenas in which the edges are labeled with languages that describe the…
Multi-Task Partially Supervised Learning for Super-Resolution and Semantic Segmentation on Earth Observation data
Hoàng-Ân Lê, Minh-Tan Pham, Solange Lemai-Chenevier +1
Super-resolution and semantic segmentation are known to benefit one another, especially in the Earth observation context. However, learning both tasks in a joint model often requir…
Investigating Model Compression for Neural Machine Translation in the Biomedical Domain
Maria Zafar, Souhail Bakkali, Rejwanul Haque
Large-scale pretrained transformer models have achieved state-of-the-art performance across diverse machine translation tasks, including multilingual settings. Knowledge distillati…
Domain adaptation for handwriting trajectory reconstruction from IMU sensors
Florent Imbert, Romain Tavenard, Yann Soullard +1
Digital pens are commonly used to write on digital devices, providing the handwriting trace and enhancing human-computer interation. This study focuses on a digital pen equipped wi…
Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network
Wassim Swaileh, Florent Imbert, Yann Soullard +2
Handwriting with digital pens is a common way to facilitate human-computer interaction through the use of Online Handwriting (OH) trajectory reconstruction. In this work, we focus…
Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors
Florent Imbert, Eric Anquetil, Yann Soullard +1
The use of digital pens for online handwriting trajectory reconstruction is a prevalent method for human-computer interaction. In this study, we focus on a digital pen equipped wit…