Elisa Ricci

Structured Domain Adaptation for 3D Keypoint Estimation

2019

Motivated by recent advances in deep domain adaptation, this paper introduces a deep architecture for estimating 3D keypoints when the training (source) and the test (target) images greatly differ in terms of visual appearance (domain …

Harnessing Large Language Models for Training-free Video Anomaly Detection

2024 · arXiv (Cornell University)

Video anomaly detection (VAD) aims to temporally locate abnormal events in a video. Existing works mostly rely on training deep models to learn the distribution of normality with either video-level supervision, one-class supervision, or in …