Gyeongha Hwang

According to our database, Gyeongha Hwang authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Self-Supervised Angular Deblurring in Photoacoustic Reconstruction via Noisier2Inverse.

Markus Haltmeier, Nadja Gruber, Gyeongha Hwang

CoRR, April, 2026

SPLIT: Self-supervised Partitioning for Learned Inversion in Nonlinear Tomography.

Markus Haltmeier, Lukas Neumann, Nadja Gruber, Gyeongha Hwang

CoRR, April, 2026

Data-Consistent Learning of Inverse Problems.

Markus Haltmeier, Gyeongha Hwang

CoRR, January, 2026

HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training.

Markus Haltmeier, Lukas Neumann, Nadja Gruber, Johannes Schwab, Gyeongha Hwang

CoRR, January, 2026

2025

Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise.

Nadja Gruber, Johannes Schwab, Markus Haltmeier, Ander Biguri, Clemens Dlaska, Gyeongha Hwang

IEEE Access, 2025

2024

Implicit learning to determine variable sound speed and the reconstruction operator in photoacoustic tomography.

Gyeongha Hwang, Gihyeon Jeon, Sunghwan Moon, Dabin Park

CoRR, 2024

ECALL: Expectation-calibrated learning for unsupervised blind deconvolution.

Markus Haltmeier, Gyeongha Hwang

CoRR, 2024

2023

Self-supervised learning for a nonlinear inverse problem with forward operator involving an unknown function arising in Photoacoustic Tomography.

Gyeongha Hwang, Gihyeon Jeon, Sunghwan Moon

CoRR, 2023

Mesh Density Adaptation for Template-based Shape Reconstruction.

Yucheol Jung, Hyomin Kim, Gyeongha Hwang, Seung-Hwan Baek, Seungyong Lee

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

2022

Self-Supervised Dehazing Network Using Physical Priors.

Gwangjin Ju, Yeongcheol Choi, Donggun Lee, Jee Hyun Paik, Gyeongha Hwang, Seungyong Lee

Proceedings of the Computer Vision - ACCV 2022, 2022