Shivang Patel
Papers
2
Total Citations
26
H-Index
2
About
Shivang Patel is a computer vision researcher whose work bridges classical robotics with cutting-edge deep learning. His early research focused on intelligent autonomous ground vehicles (AGVs), where he integrated computer vision and artificial intelligence to design systems capable of navigating complex environments—work that has earned 19 citations and laid the foundation for his later contributions. Patel’s most significant impact, however, comes from his pioneering approach to keypoint detection and matching, a fundamental challenge in computer vision with applications spanning shape reconstruction, structure from motion, AR/VR, and robotics. In his 2023 paper, he introduced a self-supervised method for interest point detection and description that works robustly across both fisheye and perspective images—a notable achievement given that traditional methods like SIFT and even many deep learning approaches struggle with wide-angle distortions. This work, already garnering 7 citations, addresses a critical gap in the field, enabling more reliable feature matching in challenging real-world scenarios. Patel’s research demonstrates a rare ability to advance both practical engineering and theoretical foundations, making him a rising figure in the computer vision community.
Research Focus
Key Achievements
Top Papers
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- 2