Currently I am a PhD candidate at School of Computer Science and Engineering at Kyungpook National University.
I received MS degree (Feb. 2023) advised by Prof. Sang-hyo Park (Video Intelligence Lab.) at the School of Computer Science and Engineering in Kyungpook National University
I have primarily experienced on a variety of deep-learning-based Computer Vision research areas.
Kyungpook National University | School of Computer Science and Engineering | Video Intelligence Lab.
Ph.D., Kyungpook National University, School of Computer Science and Engineering
2023.03 - current
Advisor: Prof. Sang-hyo Park
M.S., Kyungpook National University, School of Computer Science and Engineering
2021.03 - 2023.02
Advisor: Prof. Sang-hyo Park
Research Interests
Image processing
: Video Compression / Super-resolution / Denoising / Restoration
2D/3D Vision
: Nove-view Synthesis / Multi-view Stereo
Generative AI
: Diffusion Models / Generative Adversarial Networks (GANs)
ISO/IEC JCT1/SC 29 (MPEG)
WG 3 – MPEG Systems
WG 4 – MPEG Video Coding
WG 5 – Joint Video Experts Team (JVET)
WG 7 – MPEG Coding of 3D Graphics and Haptics
Dong-hwi Kim*, Chaewon Moon*, Hojun Song, Dongbeom Kim, Junyeong Jang, Aro Kim, Gahyeon Kim, Heejung Choi, Jehee Kim, Gianella Cravioto, Sohyun Lee, Gyeongjin Choi, EunHye Jeong, Soo Ye Kim†(Adobe Research), Jaehyup Lee†, Sang-hyo Park†,
(* equal contribution, † co-corresponding authors)
(Collaboration with Adobe Research, US)
ACM SIGGRAPH Asia, 2026 (Technical Papers)
Dong‑Hwi Kim, Sujin Lee, Jaehyun Bae, Sukee Cho, Byungjun Bae, Jieun Lee†, Sang‑hyo Park†
(† co-corresponding authors)
Multimdedia Tools and Applications, 2025, (~2024.10 SCIE)
Dong‑Hwi Kim*, Dong-hun Lee*, Aro Kim, Jinwoo Jeong, Jong Taek Lee, Sungjei Kim, Sang‑hyo Park†
(* equal contribution, † corresponding authors)
IET Computer Vision , 2024, SCIE
(Int'l)
CODEX: A Compression-Originated Distortion Extraction Dataset for Artifact-Aware Video Enhancement
- Dong-shin Lim, Dong-hwi Kim, Eunji Kim, Sang-hyo Park†
- Signal Processing: Image Communication, 2026, SCIE.
- DOI: 10.1016/j.image.2026.117705
Research and Standards in 3D Scene Description Technologies: A Survey
- Dong-shin Lim*, Dong-hun Lee*, Dong-hwi Kim, Jeong-hun Hong, Aro Kim, Chae-yeong Song, Bosung Baek, Dabin Kang, Myeong-jin Jang, Jinwoo Jeong, Sungjei Kim, Sang-hyo Park†
- APSIPA Transactions on Signal and Information Processing, 2025, ESCI
- DOI: https://doi.org/10.1561/116.20250038
Reference-based Video Super-Resolution Framework with Multi-View Feature Extraction
- Myeong-jin Jang, Aro Kim, Dong-hwi Kim, and Sang-hyo Park†
- IEIE Transactions on Smart Processing and Computing, 2025, Scopus
Deep learning-guided video compression for machine vision tasks
- Aro Kim, Seung-taek Woo, Minho Park, Dong-hwi Kim, Hanshin Lim, Soon-heung Jung, Sangwoon Kwak, Sang-hyo Park†
- EURASIP Journal on Image and Video Processing, 2024, SCIE
- DOI: https://doi.org/10.1186/s13640-024-00649-w
Study on the Vulnerability of Video Retargeting Method for Generated Vidoes by Deep Learning Model
- Aro Kim, Dong-hwi Kim, Sang-hyo Park†
- International Conference on Ubiquitous and Future Networks (ICUFN), IEEE, 2023, Conference
- DOI: 10.1109/ICUFN57995.2023.10201216
A Study on Model Compression Methods for SRGAN
- Dong-hwi Kim, Jung-won Lee, Sang-hyo Park†
- International Conference on Electronics, Information, and Communication (ICEIC), IEEE, 2022, Conference
- DOI: 10.1109/ICEIC54506.2022.9748707
(Domestic)
영상 압축 환경에서의 압축 강도를 고려한 Denoising 기반 VGGT 성능 분석
- 김제희*, 김동휘*, 문채원, 이윤호, 김은지, 정진우, 박상효†
- 방송공학회논문지, 2026, KCI
객체 추적을 활용한 비디오 인페인팅용 사용자 기반 마스크 생성 기법
- 김은지, 김동휘, 강다빈, 송호준, 박상효†
- 방송공학회논문지, 2024, KCI
A Study on the Vulnerability of Semantic Segmentation Models under Adversarial Perturbations
- 문채원, 김동휘, 강다빈, 박상효†
- 방송공학회논문지, 2024, KCI
Squeeze and Excitation Block을 사용한 BasicVSR 모델 필터링 연구
- 우승택, 김동휘, 김아로, 갈리 바니 프리얀카, 박상효†
- 방송공학회논문지, 2023, KCI
참여연구원
- NRF, "다재다능한 멀티모달 AI를 위한 3D Gaussian Splatting의 표현 및 압축 원천기술 연구", 2025.03 ~
- IITP, "이동형 로봇 기반 실사 메타버스 실감형 비디오의 획득 및 처리 기술 개발", 2022.07 ~ 2024.12
- IITP, "3차원 공간 디지털미디어 규격화 기술 개발" 2023.04 ~ 2025.12
- NRF, "다목적 비디오 부호화를 위한 초경량화 신경망 연구", 2023.02 ~ 2024.05
- KETI, "3차원 자세 추정 모델 경량화 및 회적화 SW 개발", 2023.08 ~ 2023.11
- IITP, "재난정보인지 취약계층을 위한 맞춤형 재난미디어 서비스 플랫폼 기술 개발", 2022.04 ~ 2022.12
- ETRI, "머신비전 특성을 고려한 VTM기반 부호화 도구 구현", 2022.02 ~ 2022.03
- IITP, "객체 가로 비율을 고려한 화면비 변환 기술 연구", 2022.01 ~ 2022.12
Teaching Experiences
Daegu Digital Innovation Promotion Agency
- K-Digital Training | Artificial Intelligence 2022.02 ~ 2022.03
Teaching assistant
- Compiler | 2021. Spring
- Introduction to Machine Learning | 2023. Fall
- Artificial Intelligence | 2024. Spring
- Introduction to Machine Learning | 2024. Spring
- Artificial Intelligence | 2024. Fall
- Introduction to Machine Learning | 2024. Fall
Reviewer
ACM Multimedia (MM) 2026
4단계 BK21 사업 우수 참여인력 표창 12.2024
교육부장관 표창
IPSEK 차세대 공학연구자 12.2024
(사) 한국이공학진흥원
E-mail: dhwi@knu.ac.kr
[Google Scholar] [GitHub] [LinkedIn]