Showing 2026Show all
3 papers · 1 filter
cs.CV2026
CAT-Free: Multi-View Pedestrian Localization without Calibration, Annotations, or Target-Scene Training via Adaptive Geometric Filtering
Taigo Sakai, Hiroki Kouno, Naoki Kato +1
Multi-camera pedestrian localization is useful for wide-area monitoring in public and commercial spaces. However, deploying these systems often requires considerable setup for each…
cs.CV2026
GRACE: Geometry- and Ray-Aware Camera-Efficient Multi-View Pedestrian Tracking
Taigo Sakai, Kazuhiro Hotta, Hiroki Kouno +1
Reducing the number of cameras reduces the deployment cost but removes views that correct BEV responses stretched away from true pedestrian positions by projection and short score…
cs.CV2026
Dynamic Distillation and Gradient Consistency for Robust Long-Tailed Incremental Learning
Taigo Sakai, Kazuhiro Hotta
The task of Long-tailed Class Incremental Learning (LT-CIL) addresses the sequential learning of new classes from datasets with imbalanced class distributions. This scenario intens…