3 papers
cs.CV2026
Weakly-Supervised Spatiotemporal Anomaly Detection
Urvi Gianchandani, Praveen Tirupattur, Mubarak Shah
In this paper, we explore a weakly supervised method for anomaly detection. Since annotating videos is time-consuming, we only look at weak video-level labels during training. This…
cs.CV2025
Leveraging Pre-Trained Visual Models for AI-Generated Video Detection
Keerthi Veeramachaneni, Praveen Tirupattur, Amrit Singh Bedi +1
Recent advances in Generative AI (GenAI) have led to significant improvements in the quality of generated visual content. As AI-generated visual content becomes increasingly indist…
cs.CV2025
MGD: Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A. Chan-Santiago, Praveen Tirupattur, Gaurav Kumar Nayak +2
Dataset distillation has emerged as an effective strategy, significantly reducing training costs and facilitating more efficient model deployment. Recent advances have leveraged ge…