Jung-Hee Kim

SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments

Jongsung Lee*, Gyeongsu Cho*, Jeongin Park*, Seongoh Lee*, Kyongjun Kim, Jung-Hee Kim, Seong-Gyun Jeong, Kyungdon Joo

International Conference on Computer Vision (ICCV), 2023

MiLO: Multi-task Learning with Localization Ambiguity Suppression for Occupancy Prediction

Thang Vu, Jung-Hee Kim, Myeongjin Kim, Sukwoo Jung, Seong-Gyun Jeong

IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023

Ranked 2nd place on CVPR 2023 3D Occupancy Prediction Challenge paper

Self-supervised surround-view depth estimation with volumetric feature fusion

Jung-Hee Kim*, Junhwa Hur*, Tien Phuoc Nguyen, Seong-Gyun Jeong

Neural Information Processing Systems (NeurIPS), 2022

paper / code

End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images

Jung-Hee Kim*, Siyeong Lee*, Suk-Ju Kang

AAAI Conference on Artificial Intelligence (AAAI), 2021

paper / code

Structured Camera Pose Estimation for Mosaic-based Omnidirectional Imaging

Woojune Park*, Jung-Hee Kim*, Suk-Ju Kang, Joonsoo Kim, Kugjin Yun, Won-Sik Cheong

IEEE International Symposium on Circuits and Systems (ISCAS), 2021

paper

Differentiable HDR Image Synthesis using Multi-exposure Images

Jung-Hee Kim*, Siyeong Lee*, Suk-Ju Kang

Neural Information Processing Systems Workshop (NeurIPSW), 2020

paper