Zero-shot skeleton action recognition is a non-trivial task that requires robust unseen
generalization with prior knowledge from only seen classes and shared semantics. Existing …

Conditional dependency present one of the trickiest problems in Compositional Zero-Shot
Learning, leading to significant property variations of the same state (object) across different …

Attributing APT (Advanced Persistent Threat) malware to their respective groups is crucial for
threat intelligence and cybersecurity. However, APT adversaries often conceal their …

Personalized federated learning (PFL) tailors models to clients' unique data distributions
while preserving privacy. However, existing aggregation-weight-based PFL methods often …

Despite the significant advancements, existing object removal methods struggle with
incomplete removal, incorrect content synthesis and blurry synthesized regions, resulting in …

Image harmonization, aiming to seamlessly blend extraneous foreground objects with
background images, is a promising and challenging task. Ensuring a synthetic image …

Robust WiFi-based human pose estimation is a challenging task that bridges discrete and
subtle WiFi signals to human skeletons. This paper revisits this problem and reveals two …