HYU Computer Vision Lab. (한양대학교 컴퓨터비전 연구실)
HYU Computer Vision Lab. (한양대학교 컴퓨터비전 연구실)
Internship: Inria Sophia Antipolis STARS team, France (2025.07~2025.12)
Achievements:
Best Poster Presentation Award at IPIU 2026
Publications:
임의 해상도 렌더링에서의 3D Gaussian Splatting 메모리-성능 최적화, IPIU, 2026
3D Gaussian Splatting에서의 Anti-aliasing에 관한 연구, IPIU, 2025
Achievements:
3rd place in the MOSEv2 Track of the 7th LSVOS Challenge at ICCV 2025 Workshop
Publications:
모델 결합을 통한 비디오 객체 분할 성능 향상, IPIU, 2026
Enriched Feature Representation and Motion Prediction Module for MOSEv2 Track of 7th LSVOS Challenge: 3rd Place Solution, ICCV Workshop LVOS Challenge 2015.
Publications:
복합 열화 환경에서 복원 제어가 가능한 이미지 복원, IPIU, 2026
Publications:
유도 증류 기법을 활용한 항공 영상에서의 준지도학습 기반 객체 분할 성능 개선에 관한 연구, IPIU, 2026
Publications:
노이즈 최적화 및 레이아웃 조건을 활용한 아웃페인팅 성능 향상, IPIU, 2026
Achievements:
[2025] 한국연구재단(NRF) 석사과정생연구장려금지원사업에 선정
Publications:
레이아웃 기반 합성 데이터 생성 및 정제를 통한 문화유산 객체 탐지 성능 향상, IPIU, 2026
Publications:
특징 분리 학습을 통한 얼굴 감정 인식에 관한 연구, IPIU, 2026
Achievements:
[2025] 한국연구재단(NRF) 석사과정생연구장려금지원사업에 선정
Publications:
감정 조건부 다국어 3D Talking Head 데이터 합성에 대한 연구, IPIU, 2026
Publications:
3DGS에서 2D SAM을 활용할 때 발생하는 한계점 극복 및 효과적인 3차원 공간 이해를 위한 방법에 관한 연구, IPIU, 2026
3D Gaussian Splatting을 활용한 Point Cloud 합성 및 3차원 합성 공간 복원에 대한 연구, IPIU, 2025
Publications:
이미지 스테가노그래피 기술 동향 및 오디오-이미지 은닉 기법 연구, IPIU, 2026
Publications:
깊이 우선순위 기반 Forward Splatting을 이용한 버스트 영상 초해상화, IPIU, 2026
강규태
김도훈
이건
장대혁
조하준
Current Position: Agency for Defense Development (ADD, 국방과학연구소)
Publications:
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation, Dae-Young Song, Geonsoo Lee, HeeKyung Lee, Gi-Mun Um and Donghyeon Cho, European Conference on Computer Vision (ECCV), 2022
Channel Sampler in Hyperspectral Images for Vehicle Detection, Geonsoo Lee, Jaekyu Lee, Jeonghyun Baek, Hoseong Kim and Donghyeon Cho, IEEE Geoscience and Remote Sensing Letters, 2021, (IF=3.966). [paper]
Self-supervised Feature Enhancement Networks for Small Object Detection in Noisy Images, Geonsoo Lee*, Sungeun Hong* and Donghyeon Cho, IEEE Signal Processing Letter (SPL), 2021, (IF=3.109). [paper] [project page]
Current Position: Electronics and Telecommunications Research Institute (ETRI, 한국전자통신연구원)
Publications:
Progressive Artwork Outpainting via Latent Diffusion Models, Dae-Young Song, Jung-Jae Yu and Donghyeon Cho, International Conference on Computer Vision (ICCV), 2025
DIFu: Depth-guided Implicit Function for Clothed Human Reconstruction, Dae-Young Song, HeeKyung Lee, Jeongil Seo and Donghyeon Cho, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation, Dae-Young Song, Geonsoo Lee, HeeKyung Lee, Gi-Mun Um and Donghyeon Cho, European Conference on Computer Vision (ECCV), 2022
End-to-End Image Stitching Network via Multi-Homography Estimation, Dae-Young Song, Gi-Mun Um, Hee Kyung Lee and Donghyeon Cho, IEEE Signal Processing Letter (SPL), 2021, (IF=3.109). [paper] [project page]
Current Position: AIworkX (에이아이웍스)
Publications:
Cloth Changing Person Re-Identification with Noisy Patch Filtering, Hyeok-Joon Kweon and Donghyeon Cho, IEEE Signal Processing Letter (SPL), 2023, (IF=3.201).
Synthetic fisheye 이미지를 이용한 360˚ 파노라마 이미지 스티칭, 권혁준, 조동현, 방송공학회논문지, 2022.
Deep Multi-Image Steganography with Private Keys, Hyeok-Joon Kweon*, Jinsun Park*, Sanghyun Woo and Donghyeon Cho, Electronics, 2021, (IF=2.397). [paper]
Current Position: Samsung Research (삼성 리서치)
Internship: SI Analytics, Daejeon, Korea (2023.03~2025.07)
Publications:
Consistent Object Removal from Masked Neural Radiance Fields by Estimating Never-Seen Regions in All-Views, Yongjoon Lee, Jaehak Ryu, Donggeun Yoon and Donghyeon Cho, International Conference on Pattern Recognition (ICPR), 2024
Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model. Donggeun Yoon*, Minseok Seo*, Doyi Kim, Yeji Choi and Donghyeon Cho, European Conference on Computer Vision (ECCV), 2024
CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image, Donggeun Yoon and Donghyeon Cho, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning, Donggeun Yoon, Jinsun Park and Donghyeon Cho, Asian Conference on Computer Vision (ACCV), 2022.
Lightweight Deep CNN for Natural Image Matting via Similarity Preserving Knowledge Distillation, Donggeun Yoon*, Jinsun Park* and Donghyeon Cho, IEEE Signal Processing Letter (SPL), 2020, (IF=3.109). [paper] [project page]
Current Position: AIPIA (아이피아)
Publications:
Online Learning for Reference-Based Super-Resolution, Byungjoo Chae*, Jinsun Park*, Tae-Hyun Kim and Donghyeon Cho, MDPI Electronics, 2022, (IF=2.397).
Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images, Seonggwan Ko*, Jinsun Park*, Byungjoo Chae and Donghyeon Cho, IEEE Signal Processing Letter (SPL), 2021, (IF=3.109).
Current Position: HL Klemove (HL 클레무브)
Publications:
Reference-based Burst Super-resolution, Seonggwan Ko, Yeong Jun Koh and Donghyeon Cho, ACM multimedia (MM), 2024.
CSSR: Cross-and Self-Feature Transformer with High-Frequency Feature Alignment for Reference-Based Super-Resolution, Seonggwan Ko and Donghyeon Cho, International Conference on Pattern Recognition (ICPR), 2024
Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images, Seonggwan Ko*, Jinsun Park*, Byungjoo Chae and Donghyeon Cho, IEEE Signal Processing Letter (SPL), 2021, (IF=3.109).
Current Position: LIG Nex1 (LIG 넥스원)
Publications:
딥러닝 네트워크 기반의 투명 객체 특징 추출 및 깊이 추정, 전자공학회 추계학술대회, 2022
Publications:
Unpaired Shadow Removal: Enhancing Attention to Shadow Areas via Dropkey, Jaewon Yang, Ukcheol Shin, Donghyeon Cho,International Conference on Electronics, Information, and Communication (ICEIC), 2025.
Current Position: Korea Institute of Ocean Science & Technology (KIOST, 한국해양과학기술원)
Publications:
입력 텍스트 프롬프트와 출력 이미지와의 연관성 분석을 이용한 데이터 레이블링 및 테스트베드, 황혜린, 문성원, 조동현, 전자공학회논문지 2024.
희소 입력 환경에서의 지식 증류를 활용한 카메라-라이다 센서 융합, 황혜린, 조동현, 방송공학회논문지, 2023.
Publications:
정밀한 공간 제어를 위한 입력 레이아웃 구체화, IPIU, 2026
Preserving Instance-Level Characteristics for Multi-Instance Generation, Jaehak Ryu, Sungwon Moon and Donghyeon Cho, Image and Vision Computing (IMAVIS), 2025
레이아웃 기반 생성 모델을 활용한 데이터 증강 및 레이블 신뢰도 평가, IPIU, 2025
Consistent Object Removal from Masked Neural Radiance Fields by Estimating Never-Seen Regions in All-Views, Yongjoon Lee, Jaehak Ryu, Donggeun Yoon and Donghyeon Cho, International Conference on Pattern Recognition (ICPR), 2024
Publications:
참조 이미지 투영을 통한 일관적 3차원 객체 제거, IPIU, 2026
GPGS: Consistent 3D Object Removal via Geometry-Aware 3D Inpainting and Projected Image Refinement in 3D Gaussian Splatting, Yongjoon Lee and Donghyeon Cho, Annual AAAI Conference on Artificial Intelligence (AAAI), 2026,
NeRF에서의 일관적인 객체 제거를 위한 완전히 가려진 영역 추정, IPIU, 2025
Consistent Object Removal from Masked Neural Radiance Fields by Estimating Never-Seen Regions in All-Views, Yongjoon Lee, Jaehak Ryu, Donggeun Yoon and Donghyeon Cho, International Conference on Pattern Recognition (ICPR), 2024
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