2 citations · 4 across the 5 of their papers we have counts for
5 papers
Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering
Sai Bhargav Rongali, Mohamad Hassan N C, Ankit Jha +3
This paper tackles the intricate challenge of video question-answering (VideoQA). Despite notable progress, current methods fall short of effectively integrating questions with vid…
Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics
Neha Bhargava, Fabio Cuzzolin
In this paper, we explore some of the applications of computer vision to sports analytics. Sport analytics deals with understanding and discovering patterns from a corpus of sports…
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection
Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan +1
A classical approach to abnormal activity detection is to learn a representation for normal activities from the training data and then use this learned representation to detect abn…
Spatio-temporal interaction model for crowd video analysis
Neha Bhargava, Subhasis Chaudhuri
We present an unsupervised approach to analyze crowd at various levels of granularity individual, group and collective. We also propose a motion model to represent the collecti…
An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition
Neha Bhargava, Subhasis Chaudhuri
We present an integrated framework for simultaneous tracking, group detection and multi-level activity recognition in crowd videos. Instead of solving these problems independently…