Shohei Nobuhara
Papers
4
Total Citations
13
H-Index
2
About
Shohei Nobuhara is a researcher at the forefront of computer vision, with a focus on understanding dynamic scenes from egocentric perspectives. His primary research areas include view birdification, crowd trajectory analysis, and novel sensing techniques for shape and reflectance capture. Nobuhara’s major contribution is the introduction of "view birdification," a groundbreaking approach that recovers ground-plane trajectories of pedestrians and ego-motion from a single ego-centric video. This work, detailed in his 2022 paper "ViewBirdiformer" (5 citations) and subsequent studies (4 and 2 citations), is essential for mobile robot navigation and situational awareness in crowded environments. Additionally, his 2024 paper "SPIDeRS" (2 citations) pioneers structured polarization for invisible depth and reflectance sensing, offering stealth capabilities for applications in vision, extended reality (xR), robotics, and human-computer interaction. With a growing citation impact, Nobuhara’s innovative methods are shaping how machines perceive and interact with complex, real-world scenes, making his work highly relevant for students and researchers in autonomous systems and computer vision.
Research Focus
Key Achievements
Top Papers
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