3 papers
cs.CV2026
Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification
Dong-Woo Kim, Tae-Kyun Kim
Clothes-changing person re-identification (CC-ReID) aims to recognize individuals despite drastic appearance changes caused by clothing variation. While existing methods rely on ad…
cs.CV2026
BHaRNet: Reliability-Aware Body-Hand Modality Expertized Networks for Fine-grained Skeleton Action Recognition
Seungyeon Cho, Tae-kyun Kim
Skeleton-based human action recognition (HAR) has achieved remarkable progress with graph-based architectures. However, most existing methods remain body-centric, focusing on large…
cs.CV2026
Body-Hand Modality Expertized Networks with Cross-attention for Fine-grained Skeleton Action Recognition
Seungyeon Cho, Tae-Kyun Kim
Skeleton-based Human Action Recognition (HAR) is a vital technology in robotics and human-robot interaction. However, most existing methods concentrate primarily on full-body movem…