891 citations · 1.2k across the 6 of their papers we have counts for
8 papers
Weakly-Supervised Learning for Tree Instances Segmentation in Airborne Lidar Point Clouds
Swann Emilien Céleste Destouches, Jesse Lahaye, Laurent Valentin Jospin +1
Tree instance segmentation of airborne laser scanning (ALS) data is of utmost importance for forest monitoring, but remains challenging due to variations in the data caused by fact…
In Flight Boresight Rectification for Lightweight Airborne Pushbroom Imaging Spectrometry
Julien Yuuki Burkhard, Jesse Ray Murray Lahaye, Laurent Valentin Jospin +1
Hyperspectral cameras have recently been miniaturized for operation on lightweight airborne platforms such as UAV or small aircraft. Unlike frame cameras (RGB or Multispectral), ma…
Active-Passive SimStereo -- Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
Laurent Jospin, Allen Antony, Lian Xu +3
In stereo vision, self-similar or bland regions can make it difficult to match patches between two images. Active stereo-based methods mitigate this problem by projecting a pseudo-…
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision
Laurent Valentin Jospin, Hamid Laga, Farid Boussaid +1
A major focus of recent developments in stereo vision has been on how to obtain accurate dense disparity maps in passive stereo vision. Active vision systems enable more accurate e…
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching
Laurent Valentin Jospin, Farid Boussaid, Hamid Laga +1
Cost-based image patch matching is at the core of various techniques in computer vision, photogrammetry and remote sensing. When the subpixel disparity between the reference patch…
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin, Wray Buntine, Farid Boussaid +2
Modern deep learning methods constitute incredibly powerful tools to tackle a myriad of challenging problems. However, since deep learning methods operate as black boxes, the uncer…
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation
Hamid Laga, Laurent Valentin Jospin, Farid Boussaid +1
Estimating depth from RGB images is a long-standing ill-posed problem, which has been explored for decades by the computer vision, graphics, and machine learning communities. Among…
Embedded polarizing filters to separate diffuse and specular reflection
Laurent Valentin Jospin, Gilles Baechler, Adam Scholefield
Polarizing filters provide a powerful way to separate diffuse and specular reflection; however, traditional methods rely on several captures and require proper alignment of the fil…