Seunghoi Kim

According to our database, Seunghoi Kim authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction.

Seunghoi Kim, Chen Jin, Henry F. J. Tregidgo, Matteo Figini, Daniel C. Alexander

CoRR, March, 2026

2025

HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration.

Seunghoi Kim, Henry F. J. Tregidgo, Chen Jin, Matteo Figini, Daniel C. Alexander

CoRR, December, 2025

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS.

Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model.

Mona Sheikh Zeinoddin, Chiara Lena, Jiongqi Qu, Luca Carlini, Mattia Magro, Seunghoi Kim, Elena De Momi, Sophia Bano, Matthew Grech-Sollars, Evangelos B. Mazomenos, Daniel C. Alexander, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Tackling Structural Hallucination in Image Translation with Local Diffusion.

Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI.

Seunghoi Kim, Henry F. J. Tregidgo, Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander

CoRR, 2023

2021

AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation.

Seunghoi Kim, Daniel C. Alexander

Proceedings of the 32nd British Machine Vision Conference 2021, 2021