Conferences & Journals

2023

• Neural Spectro-polarimetric Fields

  • Youngchan Kim, Wonjoon Jin, Sunghyun Cho, Seung-Hwan Baek

  • SIGGRAPH Asia 2023

• 360° Reconstruction From a Single Image Using Space Carved Outpainting

  • Nuri Ryu, Minsu Gong, Geonung Kim, Joo-Haeng Lee, Sunghyun Cho

  • SIGGRAPH Asia 2023

• ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images

  • Dongwoo Lee, Jeongtaek Oh, Jaesung Rim, Sunghyun Cho, Kyoung Mu Lee

  • ICCV 2023

• 3D-Aware Generative Model for Improved Side-View Image Synthesis

  • Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho

  • ICCV 2023

• Human Pose Estimation in Extremely Low-Light Conditions

  • Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak

  • CVPR 2023

2022

• ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement

  • Jeonghoon Kim, Sunghoon Im, Sunghyun Cho

  • Pattern Recognition Letters, vol. 164, pg. 166-172, ISSN 0167-8655, 2022 [Paper]

• Exp-GAN: 3D-Aware Facial Image Generation with Expression Control

  • Yeonkyeong Lee, Taeho Choi, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Junho Kim

  • ACCV 2022 (Oral presentation) [Paper]

• Real-Time Video Deblurring via Lightweight Motion Compensation

  • Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee

  • Computer Graphics Forum (special issue on Pacific Graphics 2022), 2022 [Project]

• MSSNet: Multi-Scale-Stage Network for Single Image Deblurring

  • Kiyeon Kim, Seungyong Lee, Sunghyun Cho

  • AIM 2022 (ECCV 2022 Workshop) [Project] [Code]

• DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains

  • Seongtae Kim, Kyoungkook Kang, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho

  • SIGGRAPH Asia 2022 (Conference Track) [Project]

• Dr.3D: Adapting 3D GANs to Artistic Drawings

  • Wonjoon Jin, Nuri Ryu, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho

  • SIGGRAPH Asia 2022 (Conference Track) [Project]

• BigColor: Colorization using a Generative Color Prior for Natural Images

  • Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho

  • ECCV 2022 [Project] [Code]

• Realistic Blur Synthesis for Learning Image Deblurring

  • Jaesung Rim, Geonung Kim, Jungeon Kim, Junyong Lee, Seungyong Lee, Sunghyun Cho

  • ECCV 2022 [Project]

• Reference-based Video Super-Resolution Using Multi-Camera Video Triplets

  • Junyong Lee, Myeonghee Lee, Sunghyun Cho, Seungyong Lee

  • CVPR 2022 [Project]

• 3D Scene Painting via Semantic Image Synthesis

  • Jaebong Jeong, Janghun Jo, Sunghyun Cho, Jaesik Park

  • CVPR 2022 [Project]

2021

• CTRL-C: Camera calibration TRansformer with Line-Classification

  • Jinwoo Lee, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Minhyuk Sung, Junho Kim

  • ICCV 2021 [ArXiv] [Code]

• GAN Inversion for Out-of-Range Images with Geometric Transformations

  • Kyoungkook Kang, Seongtae Kim, Sunghyun Cho

  • ICCV 2021 [PROJECT] [PDF] [Supp]

• Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions

  • Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee

  • ICCV 2021 [ArXiv] [Code]

• ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement

  • Jeonghoon Kim, Sunghoon Im, Sunghyun Cho

  • CVPR Workshop on Learning from Limited or Imperfect Data (CVPRw) 2021  [PDF]

• Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes

  • Hyeongseok Son, Junyong Lee, Jonghyeop Lee, Sunghyun Cho, Seungyong Lee

  • ACM Transactions on Graphics (TOG), vol. 40, no. 5, 2021 [PDF] [Code]

• DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation

  • Seunghun Lee, Sunghyun Cho, Sunghoon Im

  • CVPR 2021 [PDF]

• Iterative Filter Adaptive Network for Single Image Defocus Deblurring

  • Junyong Lee, Hyeongseok Son, Jaesung Rim, Sunghyun Cho, Seungyong Lee

  • CVPR 2021 [PDF] [Supp] [Presentation Video/Poster/Slides] [Code & Data]

2020

• Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

  • Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho

  • ECCV 2020 [PROJECT]

• URIE: Universal Image Enhancement for Visual Recognition in the Wild

  • Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak

  • ECCV 2020 [ArXiv]

• Deep Color Transfer using Histogram Analogy

  • Junyong Lee, Hyeongseok Son, Gunhee Lee, Jonghyeop Lee, Sunghyun Cho, Seungyong Lee

  • The Visual Computer Journal (CGI 2020)

  • [Paper][Supplementary][Code & Data]

• Mobile Image Communications Using Deep Neural Networks for Heterogeneous User Devices in MIMO Channels

  • Seok-Ho Chang, Soyoung Jang, Minyeong Kim, Sunghyun Cho

  • IEEE Transactions on Vehicular Technology, vol. 69, no. 6, pp 6359-6373, June 2020

  • [LINK]

• Locally Adaptive Channel Attention-based Network for Denoising Images

  • Haeyun Lee, Sunghyun Cho

  • IEEE Access [PROJECT]

2019

• Naturalness-Preserving Image Tone Enhancement Using Generative Adversarial Networks

  • Hyeongseok Son, Gunhee Lee, Sunghyun Cho, Seungyong Lee

  • Computer Graphics Forum (special issue on Pacific Graphics 2019), 2019 [Paper]

  • Best Paper Award

• Video Upright Adjustment and Stabilization

  • Jucheol Won, Sunghyun Cho

  • BMVC 2019 [PROJECT]

• Image Broadcasting for Heterogeneous User Devices in MIMO Networks

  • Soyoung Jang, Seok-Ho Chang, Minyeong Kim, Sunghyun Cho

  • IEEE International Conference on Communications (ICC) 2019 [Paper]

• Interactive and Automatic Navigation for 360° Video Playback

  • Kyoungkook Kang, Sunghyun Cho

  • SIGGRAPH 2019 [PROJECT]

• Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

  • Jiwoon Ahn, Sunghyun Cho, Suha Kwak

  • CVPR 2019 (oral presentation) [PROJECT] [PDF] [Supplementary]

• Deep Defocus Map Estimation using Domain Adaptation

  • Junyong Lee, Sungkil Lee, Sunghyun Cho, Seungyong Lee

  • CVPR 2019 [PDF] [Supplementary]

2018

• Defocus and Motion Blur Detection with Deep Contextual Features

  • Beomseok Kim, Hyeongseok Son, Seong-Jin Park, Sunghyun Cho, Seungyong Lee

  • Pacific Graphics 2018 [PDF] [Code & Dataset]

• SRFeat: Single Image Super Resolution with Feature Discrimination

  • Seong-Jin Park, Hyeongseok Son, Sunghyun Cho, Ki-Sang Hong, Seungyong Lee

  • ECCV 2018 [PROJECT] [PDF] [Supplementary]

• Blind Deblurring using Coupled Convolutional Sparse Coding Regularization for Noisy-Blurry Image

  • Taeg-Hyun An, Dooseop Choi, Sunghyun Cho, Ki-Sang Hong, Seungyong Lee

  • Electronics Letters

• Deblurring Low-light Images with Light Streaks

  • Zhe Hu, Sunghyun Cho, Jue Wang, Ming-Hsuan Yang

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 10, Oct. 1, 2018 [Link]

2017

• Convergence Analysis of MAP based Blur Kernel Estimation

  • Sunghyun Cho, Seungyong Lee

  • ICCV 2017 [PDF] [Supplementary]

2016

• PanoSwarm: Collaborative and Synchronized Multi-Device Panoramic Photography

  • Yan Wang, Sunghyun Cho, Jue Wang, Shih-Fu Chang

  • IUI 2016

 2015

• Automatic blur-kernel-size estimation for motion deblurring

  • S Liu, H Wang, J Wang, S Cho, C Pan

  • The Visual Computer, 1-14

2014

• TrackCam: 3D-aware Tracking Shots from Consumer Video

  • Shuaicheng Liu, Jue Wang, Sunghyun Cho, Ping Tan

  • SIGGRAPH Asia 2014 [PROJECT]

• Intrinsic Image Decomposition using Structure-Texture Separation and Surface Normals

  • Junho Jeon, Sunghyun Cho, Xin Tong, Seungyong Lee

  • ECCV 2014 [PROJECT]

• Good Image Priors for Non-blind Deconvolution: Generic vs Specific

  • Libin Sun, Sunghyun Cho, Jue Wang, James Hays

  • ECCV 2014 [PROJECT]

• Discriminative Indexing for Probabilistic Image Patch Priors

  • Yan Wang, Sunghyun Cho, Jue Wang, Shih-Fu Chang

  • ECCV 2014 [PDF]

• Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information

  • Tao Yue, Sunghyun Cho, Jue Wang, Qionghai Dai

  • ECCV 2014 [PDF]

• Deblurring Low-light Images with Light Streaks

  • Zhe Hu, Sunghyun Cho, Jue Wang, Ming-Hsuan Yang

  • CVPR 2014 [PROJECT]

2013

• Recent Advances in Image Deblurring

  • Seungyong Lee, Sunghyun Cho

  • SIGGRAPH Asia 2013 Course [SIGGRAPH Course page] [Slides (PPTX, 180MB)] [Slides (PDF, 13.0MB)]

• A No-Reference Metric for Evaluating The Quality of Motion Deblurring

  • Yiming Liu, Jue Wang, Sunghyun Cho, Adam Finkelstein, Szymon Rusinkiewicz

  • SIGGRAPH Asia 2013 [PDF]

• Handling Noise in Single Image Deblurring using Directional Filters

  • Lin Zhong, Sunghyun Cho, Dimitris Metaxas, Sylvain Paris, Jue Wang

  • CVPR 2013 (Oral presentation, acceptance rate = 3.3%) [PDF]

• Edge-based Blur Kernel Estimation Using Patch Priors

  • Libin Sun, Sunghyun Cho, Jue Wang, James Hays

  • ICCP 2013 [PROJECT]

2012

• Application Framework for Linking Smart TV and Smart Phones

  • Kyuman Jeong, Sunghyun Cho

  • ICONI 2012 (poster)

• Registration Based Non-uniform Motion Deblurring

  • Sunghyun Cho, Hojin Cho, Yu-Wing Tai, Seungyong Lee

  • Computer Graphics Forum (Special Issue on Pacific Graphics 2012), Vol. 31, Issue 7, pages 2183-2192, September 2012 [PDF]

• Video Deblurring for Hand-held Cameras Using Patch-based Synthesis

  • Sunghyun Cho, Jue Wang, Seungyong Lee

  • ACM Transactions on Graphics (SIGGRAPH 2012) vol. 31, no. 4, article no. 64, July 2012 [PROJECT]

• Lucas-Kanade Image Registration Using Camera Parameters

  • Sunghyun Cho, Hojin Cho, Yu-Wing Tai, Young Su Moon, Junguk Cho, Shihwa Lee, Seungyong Lee

  • IS&T/SPIE Electronic Imaging 2012

• Analysis of Practical Coverage of Uniform Motions for Approximating Real Camera Shakes

  • Hojin Cho, Sunghyun Cho, Young Su Moon, Junguk Cho, Shihwa Lee, Seungyong Lee

  • IS&T/SPIE Electronic Imaging 2012

2011

• Handling Outliers in Non-blind Image Deconvolution

  • Sunghyun Cho, Jue Wang, Seungyong Lee

  • ICCV 2011 (oral presentation, acceptance ratio: 3.1%) [PDF] [CODE]

• Non-uniform Motion Deblurring for Camera Shakes using Image Registration

  • Sunghyun Cho, Hojin Cho, Yu-Wing Tai, Seungyong Lee

  • SIGGRAPH 2011 Talks [PDF]

2010

• Image Decomposition Using Deconvolution

  • Sunghyun Cho, Hyunjun Lee, Seungyong Lee

  • ICIP 2010 [PDF]

• Amyloid hydrogel derived from curly protein fibrils of alpha-synuclein

  • Ghibom Bhak, Soonkoo Lee, Jae Woo Park, Sunghyun Cho, Seung R. Paik

  • Biomaterials (IF: 7.365), vol. 31, no. 23, pp. 5986-5995, Aug. 2010 [Paper]

2009

• Fast Motion Deblurring

  • Sunghyun Cho, Seungyong Lee

  • ACM Transactions on Graphics (SIGGRAPH ASIA 2009)

  • vol. 28, no. 5, article no. 145, Dec. 2009 [PROJECT]

• Image Retargeting Using Importance Diffusion

  • Sunghyun Cho, Hanul Choi, Yasuyuki Matsushita, Seungyong Lee

  • ICIP 2009 [PDF]

2007

• Removing Non-Uniform Motion Blur from Images

  • Sunghyun Cho, Yasuyuki Matsushita, Seungyong Lee

  • ICCV 2007 [PDF]

Korean Domestic Conferences & Journals

• 김건우, 백승환, 이승용, 조성현, "복수의 카메라를 위한 하이퍼네트워크 기반 적응적 역 ISP", KSC2022

• 진원준, 류누리, 김건웅, 백승환, 조성현, "예술적 그림으로의 3차원 적대적 생성 신경망의 적응", In Proc. KCGS 2022 (extended abstract)

• 김성태, 강경국, 김건웅, 백승환, 조성현, "다중 도메인으로의 적대적 생성 신경망의 동적 퓨샷 적응", In Proc. KCGS 2022 (extended abstract)

• 김건웅, 강경국, 김성태, 이화윤, 김세훈, 김종현, 백승환, 조성현, "생성적 색상 선행지식을 활용한 자연스러운 흑백영상 색상화", In Proc. KCGS 2022 (extended abstract)

• 진원준, 김승진, 박재식, 이승용, 조성현, "GC-NeRF: 형상 제약을 활용한 효율적인 NeRF 학습", In Proc. IPIU 2022

• 김건웅, 강경국, 김성태, 이화윤, 김세훈, 김종현, 조성현, "BigGAN 인버전을 활용한 흑백 영상 색상화", In Proc. IPIU 2022

• 원주철, 이해찬, 이현준, 옥정슬, 조성현, "Synthetic Blur Dataset for 2D Human Pose Estimation", In Proc. IPIU 2022

• 김기연, 임재성, 조성현, "영상 인식을 위한 영상 복원 신경망 경량화", In Proc. KCC 2021

• 강경국, 김성태, 조성현, "기하적 변형이 포함된 이미지의 GAN inversion", In Proc. KCGS 2021 (extended abstract)

• 이종협, 조성현, 이승용, "단노출 플래시 스마트폰 영상에서 저속 동조 영상 생성", 한국 컴퓨터그래픽스학회 논문지, 2021

• 강경국, 김성태, 조성현, "학습 가능한 옵티마이저를 이용한 고속 StyleGAN 인버전", In Proc. IPIU 2021, 우수 논문상 은상

• 임재성, 조성현, "Per-pixel Blur Kernel Estimation Network", In Proc. IPIU 2021

• 김성태, 강경국, 조성현, "고해상도 GAN 영상 편집을 위한 중간 층 미리 보기", In Proc. IPIU 2021

• 이준용, 손형석, 조성현, 이승용, "동적 필터 네트워크를 이용한 단일 영상 디포커스 디블러링", In Proc. KCC 2020, 우수발표논문상

• 임재성, 이해윤, 원주철, 조성현, "디블러링 알고리즘의 평가 및 학습을 위한 실제 블러 영상 데이터셋", In Proc. KCGS 2020 (An extended abstract)

• 이종협, 손형석, 이준용, 윤하은, 조성현, 이승용, "도메인 적응을 이용한 단일 파노라마 깊이 추정", Journal of Korea Computer Graphics Society, 2020

• 지서연, 조성현, "머리 부분 탑재형 디스플레이를 이용한 실시간 3차원 눈 표정 재건축", In Proc. IPIU 2020

• 이해윤, 조성현, “적응형 채널 어텐션 모듈을 활용한 복합 열화 복원 네트워크“, Journal of Korea Computer Graphics Society, vol. 25, no. 3, pages 1-9, 2019

• 강경국, 조성현, “360 비디오 감상을 위한 사용자 인터랙티브 자동 재생 시스템“, In Proc. KCGS 2019 (An extended abstract)

• 원주철, 조성현, “Upright Adjustment of Casual Videos and its Combination with Stabilization“, In Proc. IPIU 2019, 우수 논문상 은상

• 조장훈, 조성현, “Deep Richardson-Lucy Deconvolution“, In Proc. IPIU 2019, 우수 논문상 동상

• 박재용, 조성현, 곽수하, “저해상도 영상 인식을 위한 학습 방법“, In Proc. IPIU 2019, 우수 포스터 논문상

• 안지운, 조성현, 곽수하, “픽셀 간의 관계성을 이용한 인스턴스 분할의 약지도 학습“, In Proc. IPIU 2019, 우수 포스터 논문상

• 유재필, 조호진, 손형석, 조성현, 이승용, “글자 인식 정보를 이용한 초해상도 글자 영상 복원“, In Proc. IPIU 2019, 우수 포스터 논문상

• 이해윤, 조성현, “Image Denoising with Channel Attention Module“, In Proc. IPIU 2019

• 강경국, 조성현, “360˚ 비디오 재생을 위한 자동 패닝“, In Proc. Korea Software Congress 2018, 우수논문상

• 김정훈, 이해윤, 조성현, “머리 장착형 화면을 위한 합성곱 신경망을 활용한 근적외선 기반 시선 추적 방법“, In Proc. Korea Software Congress 2018

• 조성현, “시선 추적 기술의 소개”, 전자공학회지, vol. 45, no. 8, pp. 23-32, 2018.8

• 유재필, 손형석, 조성현, 이승용, “생성적 적대 네트워크를 이용한 글자 특성이 고려된 초해상도 영상 복원”, KIISE Transactions on Computing Practices, vol. 24, no. 8, pp. 397-401, 2018.8

• 손형석, 조성현, 이승용, “인코더-디코더 네트워크를 이용한 단일 영상의 비균일 블러 제거”, 한국컴퓨터그래픽스학회 하계 학술대회 논문집, 2018, 우수포스터상

• 강경국, 조성현, “Interactive and Automatic Panning for 360 Video Playback“, In Proc. IPIU 2018

• 조성현, “Recent Results in Image Deblurring“, IPIU 2018

• 전준호, 홍은빈, 조성현, 이승용, “Unsupervised Image Color Enhancement using Adversarial Network“, In Proc. Korea Software Congress, 2017

• 손형석, 조성현, 이승용, “HDR Style Brightness Adjustment for a Single Image“, In Proc. Korea Software Congress, 2017

• 홍은빈, 전준호, 조성현, 이승용, “딥러닝을 이용한 영상 수평 보정“, 컴퓨터그래픽스학회 논문지, vol. 23, no. 3, p. 95-103, 2017, 최우수논문상

• 김범석, 정진웅, 홍은빈, 조성현, 이승용, “360 영상으로부터 텍스트 정보를 이용한 자연스러운 사진 생성“, 컴퓨터그래픽스학회 논문지, vol. 23, no. 3, p. 65-75, 2017

• 장철훈, 조성현, 이승용, “육하원칙 정보에 기반한 홈비디오 키프레임 추출“, 컴퓨터그래픽스학회 논문지, vol.19, no.2, p.9-18, 2013

• 장철훈, 조성현, 이승용, “실제 사용자의 선출 기준을 이용한 동영상 키 프레임 선출 기법“, 제 24회 영상 처리 및 이해에 관한 워크샵, 2012

• 장철훈, 조성현, 이승용, “전문가의 카메라 움직임을 이용한 비디오 리슈팅“, 한국 컴퓨터그래픽스학회 하계 학술대회 논문집, 2010 (An extended abstract)

• 조성현, 이승용, “에지 예측을 기반으로 한 효율적인 영상 디블러링“, 한국 HCI 2009, 최우수논문상

• 손민정, 조성현, 이승욱, 구본기, 이승용, “스타일화된 얼굴 일러스트레이션“, 한국 컴퓨터그래픽스학회 논문지, vol.14, no.2, p.27-33, 2008

• 손민정, 조성현, 이승욱, 구본기, 이승용, “스타일화된 얼굴 일러스트레이션“, 한국 컴퓨터그래픽스학회 하계 학술대회 논문집, 2008 (An extended abstract of its journal version)

• 조성현, Yasuyuki Matsushita, 이승용, “중요도 확산을 이용한 영상 리타겟팅“, 한국정보과학회 학술대회, 2008

• 조성현, Yasuyuki Matsushita, 이승용, “복수의 영상에서 비균일 모션 블러 제거“, 한국 컴퓨터그래픽스학회 하계 학술대회 논문집, 2007

Patents

• Method and device for generating an image

  • Sunghyun Cho, Heechul Han

  • Korea, filed for a patent, 10-2016-0030949

  • US, 9948857

• View finder apparatus and method of operating the same

  • Jinwon Lee, Chongsam Chung, Sunghyun Cho

  • US, 10248859

  • Korea, filed for a patent, 10-2015-0091390

• Automatically suggesting regions for blur kernel estimation

  • Sunghyun Cho, Jue Wang, Jen-Chan Chien, Dong Feng

  • US, 9349165

• Automatically determining the size of a blur kernel

  • Sunghyun Cho, Jue Wang, Jen-Chan Chien, Dong Feng

  • US, 9299132

• Method and apparatus for removing non-uniform motion blur using multi-frame

  • Jung Uk Cho, Seung Yong Lee, Sung Hyun Cho, Shi Hwa Lee, Young Su Moon, Ho Jin Cho

  • Korea, 10-1839617

• Deblurring images having spatially varying blur

  • Jue Wang, Sunghyun Cho, Jen-Chan Chien, Dong Feng

  • US, 9208543

• Edge direction and curve based image de-blurring

  • Sunghyun Cho, Jue Wang, Lin Zhong

  • US, 9076205

• Method and apparatus for deblurring non-uniform motion blur in large scale input image based on tile unit

  • Jung Uk Cho, Seung Yong Lee, Young Su Moon, Shi Hwa Lee, Chi Young Lee, Sung Hyun Cho, Ho Jin Cho

  • US, 9042673

• Method and apparatus for deblurring non-uniform motion blur using multi-frame including blurred image and noise image

  • Jung Uk Cho, Seung Yong Lee, Young Su Moon, Shi Hwa Lee, Chi Young Lee, Sung Hyun Cho, Ho Jin Cho

  • US, 8995781

• Data-driven edge-based image de-blurring

  • Jue Wang, Sunghyun Cho, Libin Sun

  • US, 8897588

• De-noising image content using directional filters for image de-blurring

  • Jue Wang, Sunghyun Cho, Lin Zhong

  • US, 8867856

• Methods and apparatus for de-blurring images using lucky frames

  • Jue Wang, David P Simons, Seungyong Lee, Sunghyun Cho

  • US, 8532421

• Removing motion blur from unaligned multiple blurred images

  • Jue Wang, Sunghyun Cho, Seungyong Lee

  • US, 8411980

• Method for deblurring video and apparatus thereof

  • Seungyong Lee, Sunghyun Cho, Jue Wang

  • Korea, 1013418710000 

• Methods of removing motion blur and apparatus for the same

  • Sunghyun Cho, Hojin Cho, Seungyong Lee, Yu-Wing Tai

  • Korea, 1011525250000

• Method for removing blur of image and recorded medium for performing method of removing blur

  • Seungyong Lee, Sunghyun Cho

  • Korea, 1009907910000 

  • Japan, 04938070 

  • US, 8380000

  • China, CN102326379B

  • Germany, DE112009004059B4

• Image retargeting method using importance diffusion, storage medium of storing program for executing the same and apparatus performing the same

  • Seungyong Lee, Sunghyun Cho, Dongyeon Kim

  • Korea, 1009883800000