6 citations · 9 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
Nyle Siddiqui, Praveen Tirupattur, Mubarak Shah
In this work, we present a novel approach to multi-view action recognition where we guide learned action representations to be separated from view-relevant information in a video.…
Video Action Detection: Analysing Limitations and Challenges
Rajat Modi, Aayush Jung Rana, Akash Kumar +4
Beyond possessing large enough size to feed data hungry machines (eg, transformers), what attributes measure the quality of a dataset? Assuming that the definitions of such attribu…
Violence Detection in Videos
Praveen Tirupattur, Christian Schulze, Andreas Dengel
In the recent years, there has been a tremendous increase in the amount of video content uploaded to social networking and video sharing websites like Facebook and Youtube. As of r…
TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
Praveen Tirupattur, Aayush J Rana, Tushar Sangam +3
This paper summarizes the TinyAction challenge which was organized in ActivityNet workshop at CVPR 2021. This challenge focuses on recognizing real-world low-resolution activities…
Modeling Multi-Label Action Dependencies for Temporal Action Localization
Praveen Tirupattur, Kevin Duarte, Yogesh Rawat +1
Real-world videos contain many complex actions with inherent relationships between action classes. In this work, we propose an attention-based architecture that models these action…
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos
Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur +5
Activity detection in security videos is a difficult problem due to multiple factors such as large field of view, presence of multiple activities, varying scales and viewpoints, an…