Publications

Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations

Exploring Diffusion Models for Unsupervised Video Anomaly Detection

Latent Traversals in Generative Models as Potential Flows

Unleashing the Transferability Power of Unsupervised Pre-Training for Emotion Recognition in Masked and Unmasked Facial Images

A Memorizing and Generalizing Framework for Lifelong Person Re-Identification

Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation

Towards Robust Person Re-Identification by Defending Against Universal Attackers