Changha Shin — accepted AI-conference papers

2025

Seam360GS: Seamless 360deg Gaussian Splatting from Real-World Omnidirectional Images

Changha Shin, Woong Oh Cho, Seon Joo Kim

ICCV 2025poster

360deg visual content is widely shared on platforms such as YouTube and plays a central role in virtual reality, robotics, and autonomous navigation. However, consumer-grade dual-fisheye systems consistently yield imperfect panoramas due to inherent lens separation and angular distortions. In this w…

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2018

EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images

Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim

CVPR 2018poster

Light field cameras capture both the spatial and the angular properties of light rays in space. Due to its property, one can compute the depth from light fields in uncontrolled lighting environments, which is a big advantage over active sensing devices. Depth computed from light fields can be used f…

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