3 papers
cs.CV2025
RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
Junhee Lee, ChaeBeen Bang, MyoungChul Kim +1
Weakly-Supervised Video Anomaly Detection aims to identify anomalous events using only video-level labels, balancing annotation efficiency with practical applicability. However, ex…
cs.CV2022
NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features
MyeongAh Cho, Tae-young Chun, g Taeoh Kim +1
NIR-to-VIS face recognition is identifying faces of two different domains by extracting domain-invariant features. However, this is a challenging problem due to the two different d…
cs.CV2022
N-RPN: Hard Example Learning for Region Proposal Networks
MyeongAh Cho, Tae-young Chung, Hyeongmin Lee +1
The region proposal task is to generate a set of candidate regions that contain an object. In this task, it is most important to propose as many candidates of ground-truth as possi…