no code implementations • 5 Mar 2024 • Abeer Banerjee, Naval K. Mehta, Shyam S. Prasad, Himanshu, Sumeet Saurav, Sanjay Singh
In this paper, we address the intricate challenge of gaze vector prediction, a pivotal task with applications ranging from human-computer interaction to driver monitoring systems.
no code implementations • Signal, Image and Video Processing 2023 • Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, Sanjay Singh
The most crucial and difficult challenge for intelligent video surveillance is to identify anomalies in a video that comprises anomalous behavior or occurrences.
Ranked #5 on Anomaly Detection on UCSD Ped2
Anomaly Detection In Surveillance Videos Video Anomaly Detection
no code implementations • Applied Intelligence 2023 • Rituraj Singh, Krishanu Saini, Anikeit Sethi, Sumeet Saurav, Aruna Tiwari, Sanjay Singh
Automatic detection and interpretation of abnormal events have become crucial tasks in large-scale video surveillance systems.
Ranked #6 on Anomaly Detection on UCSD Ped2
no code implementations • 17 Aug 2022 • Himanshu Kumar, Abeer Banerjee, Sumeet Saurav, Sanjay Singh
Also, the images suffer from color bleeding and desaturated backgrounds since a single model trained on full image features is insufficient for learning the diverse data modes.
no code implementations • 5 Aug 2022 • Soumyajit Karmakar, Abeer Banerjee, Prashant Sadashiv Gidde, Sumeet Saurav, Sanjay Singh
Over the past few years, there has been a significant improvement in the domain of few-shot learning.