10 citations · 10 across the 5 of their papers we have counts for
5 papers
BoxingVI: A Multi-Modal Benchmark for Boxing Action Recognition and Localization
Rahul Kumar, Vipul Baghel, Sudhanshu Singh +4
Accurate analysis of combat sports using computer vision has gained traction in recent years, yet the development of robust datasets remains a major bottleneck due to the dynamic,…
Biomechanical-phase based Temporal Segmentation in Sports Videos: a Demonstration on Javelin-Throw
Bikash Kumar Badatya, Vipul Baghel, Jyotirmoy Amin +1
Precise analysis of athletic motion is central to sports analytics, particularly in disciplines where nuanced biomechanical phases directly impact performance outcomes. Traditional…
UTAL-GNN: Unsupervised Temporal Action Localization using Graph Neural Networks
Bikash Kumar Badatya, Vipul Baghel, Ravi Hegde
Fine-grained action localization in untrimmed sports videos presents a significant challenge due to rapid and subtle motion transitions over short durations. Existing supervised an…
Towards AI enabled automated tracking of multiple boxers
A. S. Karthikeyan, Vipul Baghel, Anish Monsley Kirupakaran +4
Continuous tracking of boxers across multiple training sessions helps quantify traits required for the well-known ten-point-must system. However, continuous tracking of multiple at…
Opto-UNet: Optimized UNet for Segmentation of Varicose Veins in Optical Coherence Tomography
Maryam Viqar, Violeta Madjarova, Vipul Baghel +1
Human veins are important for carrying the blood from the body-parts to the heart. The improper functioning of the human veins may arise from several venous diseases. Varicose vein…