1 citations · 1 across the 2 of their papers we have counts for
4 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…
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…
Open-set object detection: towards unified problem formulation and benchmarking
Hejer Ammar, Nikita Kiselov, Guillaume Lapouge +1
In real-world applications where confidence is key, like autonomous driving, the accurate detection and appropriate handling of classes differing from those used during training ar…