Nabin Sharma
Papers
1
Total Citations
167
H-Index
1
About
Dr. Nabin Sharma is a leading researcher in computer vision and pattern recognition, with a primary focus on video-based human action recognition. His most impactful contribution is the highly-cited review, "Recent advances in video-based human action recognition using deep learning: A review" (2017, 167 citations), which has become a foundational resource for researchers exploring deep learning approaches in this domain. This work systematically surveys cutting-edge techniques for analyzing human activities from video data, addressing critical applications in surveillance, robotics, healthcare, video search, and human-computer interaction. Dr. Sharma’s research has significantly advanced the understanding of how deep neural networks can be leveraged to interpret complex human movements and behaviors in real-world settings. His contributions have helped shape modern approaches to automated video analysis, providing both theoretical frameworks and practical methodologies that continue to influence the field. With his work serving as a key reference point for subsequent studies, Dr. Sharma has established himself as an important voice in the intersection of deep learning and computer vision, driving innovation in how machines perceive and understand human actions.
Research Focus
Key Achievements
Top Papers
- 1