Mayoori K. Bhat

Papers

1

Total Citations

2

H-Index

1

About

Mayoori K. Bhat is a researcher in the field of computer vision and deep learning, with a primary focus on human action recognition. Her most notable work, "Human Action Recognition Using Deep Learning Technique" (2023), has garnered early recognition with 2 citations, establishing her as an emerging voice in this rapidly evolving domain. Bhat's research leverages advanced deep learning architectures to interpret and classify human movements from video data—a critical capability for applications in surveillance, human-computer interaction, and autonomous systems. By addressing challenges such as spatiotemporal feature extraction and model efficiency, her contributions aim to bridge the gap between theoretical deep learning models and real-world deployment. Her work is particularly relevant as the demand for intelligent video analysis grows, and her findings offer a foundation for future studies in activity recognition. As a researcher dedicated to advancing automated understanding of human behavior, Bhat’s ongoing efforts promise to drive innovation in both academic and industrial settings, making her a promising figure to watch in the intersection of artificial intelligence and visual perception.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Human Action Recognition Using Deep Learning Technique
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago