Shradha Jaiswal
Papers
1
Total Citations
9
H-Index
1
About
Shradha Jaiswal’s research centers on advancing computer vision, with a particular focus on person re-identification (Re-ID) using deep learning. Her most-cited work, the 2019 survey “State-of-the-Arts Person Re-Identification Using Deep Learning” (9 citations), provides a comprehensive overview of high-performance deep-learning methods for recognizing individuals across non-overlapping camera views—a critical challenge for surveillance and security systems. This survey synthesizes key approaches, including feature representation and metric learning, helping to guide researchers toward effective solutions in the field. Beyond this, Jaiswal’s contributions address the practical difficulties of matching images from varied camera angles, lighting, and occlusions, underscoring the real-world applicability of her work. Her research has been instrumental in clarifying the evolving landscape of Re-ID, making it more accessible for new researchers. With a growing citation record, Jaiswal is establishing herself as a thoughtful voice in deep learning for visual recognition, and her survey remains a valuable resource for those exploring the intersection of artificial intelligence and security.
Research Focus
Key Achievements
Top Papers
- 1State-of-the-Arts Person Re-Identification Using Deep Learning9 citations · 2019