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.CV2025
Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation
Taeyeong Kim, SeungJoon Lee, Jung Uk Kim +1
Domain generalization in semantic segmentation faces challenges from domain shifts, particularly under adverse conditions. While diffusion-based data generation methods show promis…
cs.CV2025
PlugTrack: Multi-Perceptive Motion Analysis for Adaptive Fusion in Multi-Object Tracking
Seungjae Kim, SeungJoon Lee, MyeongAh Cho
Multi-object tracking (MOT) predominantly follows the tracking-by-detection paradigm, where Kalman filters serve as the standard motion predictor due to computational efficiency bu…