3 papers
cs.CV2025
One Graph to Track Them All: Dynamic GNNs for Single- and Multi-View Tracking
Martin Engilberge, Ivan Vrkic, Friedrich Wilke Grosche +3
This work presents a unified, fully differentiable model for multi-people tracking that learns to associate detections into trajectories without relying on pre-computed tracklets.…
cs.CV2024
No Identity, no problem: Motion through detection for people tracking
Martin Engilberge, F. Wilke Grosche, Pascal Fua
Tracking-by-detection has become the de facto standard approach to people tracking. To increase robustness, some approaches incorporate re-identification using appearance models an…
cs.CV2024
Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment
Yingxue Yu, Vidit Vidit, Andrey Davydov +2
Animal Re-ID is crucial for wildlife conservation, yet it faces unique challenges compared to person Re-ID. First, the scarcity and lack of diversity in datasets lead to background…