3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2025
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…