78 citations · 80 across the 5 of their papers we have counts for
7 papers
3D-VITAL: Visibility-aware Identity Training from Artificial Liftings of 3D Reconstruction model for Cross-View Object Re-Identification
William Grolleau, Astrid Sabourin, Guillaume Lapouge +1
We address the Cross-View Object Re-Identification (ReID) task, aiming to match identities across drastically different viewpoints. We focus on Single-View Aerial-Ground ReID (SV A…
GRIP: Gaussian Rendering as a Cross-Modal Bridge for Image-to-Point Cloud Registration
Karim Slimani, Catherine Achard, Eric Marchand +1
This paper introduces GRIP, a pose-conditioned refinement framework for pixel-to-point matching and 2D to 3D registration. Given an initial coarse pose estimate, GRIP addresses the…
3D-LENS: A 3D Lifting-based Elevated Novel-view Synthesis method for Single-View Aerial-Ground Re-Identification
William Grolleau, Astrid Sabourin, Guillaume Lapouge +1
Aerial-Ground Re-Identification (AG-ReID) is constrained by the viewpoint-domain gap, as drastic viewpoint disparities occlude or distort discriminative features, making cross-view…
MOO: A Multi-view Oriented Observations Dataset for Viewpoint Analysis in Cattle Re-Identification
William Grolleau, Achraf Chaouch, Astrid Sabourin +2
Animal re-identification (ReID) faces critical challenges due to viewpoint variations, particularly in Aerial-Ground (AG-ReID) settings where models must match individuals across d…
iMatcher: Improve matching in point cloud registration via local-to-global geometric consistency learning
Karim Slimani, Catherine Achard, Brahim Tamadazte
This paper presents iMatcher, a fully differentiable framework for feature matching in point cloud registration. The proposed method leverages learned features to predict a geometr…
LoGDesc: Local geometric features aggregation for robust point cloud registration
Karim Slimani, Brahim Tamadazte, Catherine Achard
This paper introduces a new hybrid descriptor for 3D point matching and point cloud registration, combining local geometrical properties and learning-based feature propagation for…
The LHCb upgrade I
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1305
The LHCb upgrade represents a major change of the experiment. The detectors have been almost completely renewed to allow running at an instantaneous luminosity five times larger th…