Amrit Kumar Muduli
Papers
1
Total Citations
6
H-Index
1
About
Amrit Kumar Muduli is a researcher advancing the frontiers of computer vision and robotics, with a primary focus on depth estimation and sensor fusion. His most notable contribution lies in the domain of RGB+Time-of-Flight (ToF) depth completion, a critical challenge for enabling robust 3D perception in autonomous systems. As a key participant in the MIPI 2023 Challenge on this topic, Muduli helped drive progress by benchmarking deep learning methods that fuse sparse ToF measurements with dense RGB imagery to produce accurate depth maps. His work addresses the limitations of traditional stereo and structured light approaches, leveraging modern neural architectures to improve reliability in real-world scenarios. While his highly cited paper from 2023 has garnered 6 citations, reflecting the emerging nature of this specialized field, his research holds significant promise for applications in robotics, augmented reality, and autonomous navigation. Muduli’s contributions to sensor fusion and depth completion position him as an important voice in the ongoing effort to make machines perceive the world with greater precision and robustness.
Research Focus
Key Achievements
Top Papers
- 1MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results6 citations · 2023