Jung Hee Kim

Computer Vision Research Engineer @ 42dot

About Jung Hee Kim

Jung Hee Kim is a Computer Vision Research Engineer at 42dot in South Korea, specializing in self-supervised depth estimation and multi-view geometry. He has contributed to the field through his research, including a paper published at NeurIPS 2022 and participation in the MCMOT challenge.

Work at 42dot

Jung Hee Kim has been employed at 42dot as a Computer Vision Research Engineer since 2021. In this role, he focuses on developing advanced self-supervised depth estimation approaches that utilize volumetric feature fusion for surround-view images. His work contributes to the development of 3D vision models specifically designed for autonomous vehicles. Jung is actively involved in projects that enhance the capabilities of computer vision technology within the organization.

Education and Expertise

Jung Hee Kim studied at Sogang University from 2012 to 2018, completing a six-year program. He later worked at the same institution as a Graduate Student from 2019 to 2021, where he gained expertise in multi-view geometry and computer vision. His academic background laid the foundation for his current research interests and professional focus in the field.

Research Contributions

Jung Hee Kim published a paper titled 'Self-supervised surround-view depth estimation with volumetric feature fusion' at NeurIPS 2022. This work highlights his research in self-supervised depth estimation approaches, showcasing his contributions to the academic community and the advancement of computer vision methodologies.

Participation in Challenges

Jung participated in the 42dot MCMOT (Multi-Camera Multi-Object Tracking) challenge. His involvement in this challenge reflects his engagement with practical applications of computer vision and his commitment to improving tracking technologies in multi-camera environments.

Background

Jung Hee Kim is based in Seoul, South Korea. His professional journey includes significant experiences in both academic and research settings, contributing to his current role in advancing computer vision technology at 42dot.

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