Showing 2026Show all
3 papers · 1 filter
cs.CV2026
Training-Free Hold-Usage Detection in Sport Climbing with Foundation Pose Models
Abu Bakar, Abdullah Aftab, Amir Hamza
Detecting which holds a climber uses, and when, underpins automated scoring, movement analysis, and assistive systems for sport climbing. Existing approaches train task-specific mo…
cs.CV2026
Foundational feature fusion for conditional flow matching in 6D pose estimation
Amir Hamza, Davide Boscaini, Fabio Poiesi
Conditional flow matching has enabled a step forward in object 6D pose estimation, achieving state-of-the-art performance by progressively denoising and registering object represen…
cs.CV2026
Generative 6D Pose Estimation via Conditional Flow Matching
Amir Hamza, Davide Boscaini, Weihang Li +2
Existing methods for instance-level 6D pose estimation typically rely on neural networks that either directly regress the pose in or estimate it indirectly via loc…