RNG-Based Scatternet Formation Algorithm for Small-Scale Ad-Hoc Networks. - Chungho Cho; Gwanghyun Kim (ICOST, 2007)

Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. - Sangjoon Park; Gwanghyun Kim; Jeongsol Kim; Boah Kim; Jong Chul Ye (NeurIPS, 2021)

Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer. - Gwanghyun Kim; Sangjoon Park; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models. - Gwanghyun Kim; Jong Chul Ye (CoRR, 2021)

Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. - Sangjoon Park; Gwanghyun Kim; Jeongsol Kim; Boah Kim; Jong Chul Ye (CoRR, 2021)

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. - Gwanghyun Kim; Taesung Kwon; Jong Chul Ye (CVPR, 2022)

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Chang Min Park; Jong Chul Ye (CoRR, 2022)

Adaptive GLCM sampling for transformer-based COVID-19 detection on CT. - Okchul Jung; Dong Un Kang; Gwanghyun Kim; Se Young Chun (CoRR, 2022)

Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (Medical Image Anal., 2022)

DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model. - Gwanghyun Kim; Se Young Chun (CVPR, 2023)

PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion. - Gwanghyun Kim; Ji Ha Jang; Se Young Chun (ICCV, 2023)

DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model. - Hoigi Seo; Hayeon Kim; Gwanghyun Kim; Se Young Chun (CoRR, 2023)

Detailed Human-Centric Text Description-Driven Large Scene Synthesis. - Gwanghyun Kim; Dong Un Kang; Hoigi Seo; Hayeon Kim; Se Young Chun (CoRR, 2023)

BeyondScene: Higher-Resolution Human-Centric Scene Generation with Pretrained Diffusion. - Gwanghyun Kim; Hayeon Kim; Hoigi Seo; Dong Un Kang; Se Young Chun (ECCV (64), 2024)

A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation. - Gwanghyun Kim; Alonso Martinez; Yu-Chuan Su; Brendan Jou; José Lezama; Agrim Gupta; Lijun Yu; Lu Jiang 004; Aren Jansen; Jacob Walker; Krishna Somandepalli (NeurIPS, 2024)

PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion. - Gwanghyun Kim; Suh Yoon Jeon; Seunggyu Lee; Se Young Chun (CoRR, 2024)

GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion. - Gwanghyun Kim; Xueting Li; Ye Yuan 007; Koki Nagano; Tianye Li; Jan Kautz; Se Young Chun; Umar Iqbal 001 (CoRR, 2025)