687 citations
- Université de Bretagne OccidentaleFR58 papers
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- Institut de Recherche en Informatique et Systèmes AléatoiresFR35 papers
- Centre National de la Recherche ScientifiqueFR29 papers
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- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR6 papers
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11 papers · 1 filter
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…
Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
Björn Michele, Alexandre Boulch, Gilles Puy +3
Semantic segmentation networks trained under full supervision for one type of lidar fail to generalize to unseen lidars without intervention. To reduce the performance gap under do…
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham
Object detection and semantic segmentation are both scene understanding tasks yet they differ in data structure and information level. Object detection requires box coordinates for…
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series
Aimi Okabayashi, Nicolas Audebert, Simon Donike +1
Satellite imaging generally presents a trade-off between the frequency of acquisitions and the spatial resolution of the images. Super-resolution is often advanced as a way to get…
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data
Hoàng-Ân Lê, Minh-Tan Pham
Multi-task partially annotated data where each data point is annotated for only a single task are potentially helpful for data scarcity if a network can leverage the inter-task rel…
Burnt area extraction from high-resolution satellite images based on anomaly detection
Oscar David Rafael Narvaez Luces, Minh-Tan Pham, Quentin Poterek +1
Wildfire detection using satellite images is a widely studied task in remote sensing with many applications to fire delineation and mapping. Recently, deep learning methods have be…