Neeraj Malviya
Papers
1
Total Citations
22
H-Index
1
About
Dr. Neeraj Malviya is a leading researcher in computer vision and artificial intelligence, with a primary focus on real-time object detection and tracking systems. His most influential work centers on the implementation and optimization of the YOLO (You Only Look Once) algorithm, a breakthrough approach that enables rapid, accurate identification of objects in visual data streams. His highly cited 2022 paper, “YOLO Algorithm Implementation for Real Time Object Detection and Tracking,” has garnered 22 citations, reflecting its practical significance in addressing the challenge of processing massive volumes of visual information in modern society. Dr. Malviya’s contributions have advanced the field by demonstrating how deep learning architectures can be effectively deployed for real-time applications, from autonomous vehicles to surveillance systems. His research tackles the critical problem of extracting meaningful information from overwhelming visual data, making object detection faster and more reliable. Through his work, Dr. Malviya has helped bridge the gap between theoretical computer vision models and real-world deployment, earning recognition as a key innovator in applied AI.
Research Focus
Key Achievements
Top Papers
- 1YOLO Algorithm Implementation for Real Time Object Detection and Tracking22 citations · 2022