246 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de ToulouseFR21 papers
- Institut de Recherche en Informatique de ToulouseFR17 papers
- Institut National Polytechnique de ToulouseFR12 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR11 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Université Toulouse III - Paul SabatierFR6 papers
- Centre National d'Études SpatialesFR3 papers
- Heriot-Watt UniversityGB3 papers
- Institut Universitaire de FranceFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Thales Alenia Space (France)2 papers
- Université de Technologie de TroyesFR2 papers
4 papers · 1 filter
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series
Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit +3
This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on…
Seeing Around Corners with Edge-Resolved Transient Imaging
Joshua Rapp, Charles Saunders, Julián Tachella +7
Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in search and rescue, reconnais…
Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
Julián Tachella, Yoann Altmann, Nicolas Mellado +5
Single-photon lidar has emerged as a prime candidate technology for depth imaging through challenging environments. Until now, a major limitation has been the significant amount of…
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version
Corbineau Marie-Caroline, Kouamé Denis, Chouzenoux Emilie +2
Joint deconvolution and segmentation of ultrasound images is a challenging problem in medical imaging. By adopting a hierarchical Bayesian model, we propose an accelerated Markov c…