29 citations · 64 across the 7 of their papers we have counts for
8 papers
ABM: Alignment-Aware Bridge Matching for Image-to-Image Translation
Aimi Okabayashi, Georges Le Bellier, Nicolas Audebert +3
Paired image-to-image translation underpins a wide range of computer vision tasks, including image editing, sensor translation, and domain adaptation. Bridge matching and flow matc…
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data
Mathilde Letard, Dimitri Lague, Arthur Le Guennec +5
Three-dimensional data have become increasingly present in earth observation over the last decades. However, many 3D surveys are still underexploited due to the lack of accessible…
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection
Iris de Gélis, Sébastien Lefèvre, Thomas Corpetti
In a constant evolving world, change detection is of prime importance to keep updated maps. To better sense areas with complex geometry (urban areas in particular), considering 3D…
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
Iris de Gélis, Sudipan Saha, Muhammad Shahzad +3
Change detection from traditional \added{2D} optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud \ad…
Change detection needs change information: improving deep 3D point cloud change detection
Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre
Change detection is an important task that rapidly identifies modified areas, particularly when multi-temporal data are concerned. In landscapes with a complex geometry (e.g., urba…
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham +2
Despite the popularity of deep neural networks in various domains, the extraction of digital terrain models (DTMs) from airborne laser scanning (ALS) point clouds is still challeng…
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
Binh Minh Nguyen, Ganglin Tian, Minh-Triet Vo +3
Nowadays, thermal infrared satellite remote sensors enable to extract very interesting information at large scale, in particular Land Surface Temperature (LST). However such data a…
A deep neural network for multi-species fish detection using multiple acoustic cameras
Guglielmo Fernandez Garcia, François Martignac, Marie Nevoux +2
Underwater acoustic cameras are high potential devices for many applications in ecology, notably for fisheries management and monitoring. However how to extract such data into high…