I am a passionate researcher and developer specializing in 3D Vision and 3D Point Cloud technologies. My work primarily involves advancing the state-of-the-art in 3D data processing, computer vision, and machine learning. I have a strong focus on using Python and PyTorch to build and implement innovative solutions in these fields.
- 3D Vision: Developing algorithms and models for interpreting and understanding 3D data captured from various sources such as depth sensors, stereo cameras, and LiDAR.
- 3D Point Clouds: Processing and analyzing point cloud data, including segmentation, classification, and reconstruction.
- Computer Vision: Enhancing traditional 2D vision tasks with 3D insights, including object detection, tracking, and scene understanding.
A robust tool for segmenting and classifying 3D point clouds using state-of-the-art machine learning algorithms in PyTorch.
An innovative approach to 3D object detection using multi-view images and point clouds, combining the best of both 2D and 3D worlds.
A project focused on reconstructing complex 3D scenes from LiDAR data, enabling accurate and detailed environmental modeling.
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I am grateful to the open-source community and my collaborators for their continuous support and inspiration. My research would not be possible without the contributions of fellow researchers, developers, and enthusiasts in the field.
Thank you for visiting my profile! Feel free to explore my repositories, and don't hesitate to reach out if you have any questions or potential collaborations in mind.