Jagwinder Kaur Dhillon
Papers
1
Total Citations
12
H-Index
1
About
Jagwinder Kaur Dhillon is a researcher whose work sits at the intersection of computer vision and deep learning, with a primary focus on human activity recognition. Her most-cited paper, "A recent survey for human activity recognition based on deep learning approach" (2017), has garnered 12 citations and provides a comprehensive overview of deep learning techniques applied to identifying human actions from video sequences. This survey is particularly valuable for its synthesis of methods relevant to smart surveillance, robot learning, human-computer interaction, and health assessment. Dhillon’s contributions help bridge the gap between theoretical advances in deep learning and practical applications in real-world monitoring and assistive technologies. By cataloging and comparing approaches, her work serves as a foundational resource for researchers and students entering the field. Her research underscores the growing importance of automated activity understanding in enhancing safety, healthcare, and interactive systems.
Research Focus
Key Achievements
Top Papers
- 1