Sreenivasa Reddy Yeduri
Papers
2
Total Citations
17
H-Index
2
About
Sreenivasa Reddy Yeduri is a researcher at the forefront of human-computer interaction, specializing in hand gesture recognition through advanced edge computing and deep learning. His work bridges the gap between efficient, real-time processing and high-accuracy vision systems. Yeduri’s key contributions include pioneering the use of Vision Transformers combined with lightweight Convolutional Neural Networks (CNNs) for hand gesture recognition on edge devices, as detailed in his 2022 paper, which has garnered 13 citations. This approach enables robust, low-latency performance without relying on cloud computing, making it ideal for applications in automotive interfaces and industrial robotics. He has also advanced the field by leveraging high-resolution thermal imaging with deep CNNs (2024, 4 citations), addressing the limitations of traditional RGB and depth cameras in varying lighting conditions. Yeduri’s work is notable for its practical impact, offering scalable solutions for real-world gesture-based control systems. His research not only pushes the boundaries of computer vision but also demonstrates a clear path toward integrating intelligent, responsive interfaces into everyday technology.
Research Focus
Key Achievements
Top Papers
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- 2