Yuki Ohshima
Papers
1
Total Citations
6
H-Index
1
About
Yuki Ohshima is a researcher at the intersection of computer vision, privacy, and visual perception, best known for pioneering work on the privacy implications of corneal reflections in facial images. In their highly cited 2021 paper, "Visual Place Recognition From Eye Reflection," Ohshima demonstrated that the cornea’s reflection of environmental light can be exploited to infer a person’s location from high-resolution facial photos—a finding that sparked critical conversations about privacy risks in the age of ubiquitous consumer cameras. With 6 citations, this work has become a touchstone for researchers studying unintended information leakage in visual data. Ohshima’s contributions extend to developing methods for detecting and mitigating such privacy threats, influencing both academic discourse and practical guidelines for camera design. Their research highlights how seemingly innocuous visual cues can compromise personal security, making Ohshima a key voice in the growing field of privacy-aware computer vision. For students and researchers, Ohshima’s work offers a compelling case study in the ethical dimensions of emerging imaging technologies.
Research Focus
Key Achievements
Top Papers
- 1Visual Place Recognition From Eye Reflection6 citations · 2021