Peter C. W. Kim — accepted AI-conference papers

2025

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data

Jiajie Li, Brian R Quaranto, Chenhui Xu, Ishan Mishra, Ruiyang Qin, Dancheng Liu +2

ICLR 2025spotlight

We present RASO, a foundation model designed to Recognize Any Surgical Object, offering robust open-set recognition capabilities across a broad range of surgical procedures and object classes, in both surgical images and videos. RASO leverages a novel weakly-supervised learning framework that genera…

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2016

Plenoptic cameras in surgical robotics: Calibration, registration, and evaluation

Azad Shademan, Ryan S. Decker, Justin D. Opfermann, Simon Léonard, Peter C. W. Kim, Axel Krieger

ICRA 2016

Three-dimensional sensing of changing surgical scenes would improve the function of surgical robots. This paper explores the requirements and utility of a new type of depth sensor, the plenoptic camera, for surgical robots. We present a metric calibration procedure for the plenoptic camera and the r

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