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20232026
most citedThe LHCb upgrade I

78 citations · 80 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

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…

cs.CV2024★ 2 cited

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…