Keywords:
Computer Vision
Deep Learning
Stereo Vision
GPU Computing
GPU-Accelerated AI
3D Scene Understanding
High-Performance Computing
CUDA Programming
3D Reconstruction
Depth Estimation
My research activity focuses on Computer Vision, Deep Learning, and GPU-Accelerated Computing, with particular emphasis on 3D scene understanding and reconstruction from visual data. Over the years, I have worked on advanced methods for stereo and monocular depth estimation, robust image matching, optical flow, and uncertainty estimation using deep neural networks. My research also includes the integration of active depth sensors and multispectral imaging techniques for challenging real-world scenarios. More recently, I have been investigating Neural Radiance Fields (NeRF) and neural rendering approaches for novel view synthesis, 3D surface reconstruction, and SLAM systems. In parallel, I am actively interested in high-performance computing, CUDA programming, and GPU acceleration techniques for efficient AI and computer vision applications.
