Publications

International Publications

2024

• Jin Gyu Hong, Seung Young Noh, Hee Kyung Lee, Won Sik Cheong, and Ju Yong Chang, "3D clothed human reconstruction from sparse multi-view images," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024. [PDF]

2023

• Sungho Chun, Sungbum Park, and Ju Yong Chang, "Representation learning of vertex heatmaps for 3D human mesh reconstruction from multi-view images," International Conference on Image Processing (ICIP), 2023. [arXiv preprint arXiv:2306.16615]

• Seong Hyun Kim, Do Hyun Jeon, and Ju Yong Chang, "Global 3D human pose estimation from monocular videos," International Workshop on Advanced Image Technology, 2023.

• Sungho Chun, Sungbum Park, and Ju Yong Chang, "Learnable human mesh triangulation for 3D human pose and shape estimation," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [arXiv preprint arXiv:2208.11251]

2022

• Seong Hyun Kim, Sunwon Jeong, Sungbum Park, and Ju Yong Chang, "Camera motion agnostic method for estimating 3D human poses," Sensors, vol. 22. no. 20, 2022. [PDF][arXiv preprint arXiv:2112.00343]

• Hee Gyoon Kim and Ju Yong Chang, "ArbGaze: Gaze estimation from arbitrary-sized low-resolution images," Sensors, vol. 22, no. 19, 2022. [PDF][Code]

2021

• Jonathan Samuel Lumentut, Matthew Marchellus, Joshua Santoso, Tae Hyun Kim, Ju Yong Chang, and In Kyu Park, "Universal framework for joint image restoration and 3D body reconstruction," IEEE Access, vol. 9, pp. 162543-162552, 2021. [PDF]

• Do Yeop Kim and Ju Yong Chang, "Attention-based 3D human pose sequence refinement network," Sensors, vol. 21, no. 13, 2021. [PDF]

• Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee, "Beyond static features for temporally consistent 3D human pose and shape from a video," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [arXiv preprint arXiv:2011.08627]

2020

• Sunwon Jeong and Ju Yong Chang, "MeshLifter: Weakly supervised approach for 3D human mesh reconstruction from a single 2D pose based on loop structure," Sensors, vol. 20, no. 15, 2020. [PDF][Code]

• Seong Hyun Kim and Ju Yong Chang, "Single-shot 3D multi-person shape reconstruction from a single RGB image," Entropy, vol. 22, no. 8, 2020. [PDF][Code]

2019

• Ju Yong Chang, Gyeongsik Moon, and Kyoung Mu Lee, "PoseLifter: Absolute 3D human pose lifting network from a single noisy 2D human pose," arXiv preprint arXiv:1910.12029, 2019. [Code]

• Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee, "Camera distance-aware top-down approach for 3D multi-person pose estimation from a single RGB image," International Conference on Computer Vision (ICCV), 2019. [arXiv preprint arXiv:1907.11346]

• Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee, "Multi-scale aggregation r-cnn for 2D multi-person pose estimation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019. [arXiv preprint arXiv:1905.03912]

• Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee, "PoseFix: Model-agnostic general human pose refinement network," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [arXiv preprint arXiv:1812.03595]

2018

• Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee, "V2V-PoseNet: Voxel-to-voxel prediction network for accurate 3D hand and human pose estimation from a single depth map," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [arXiv preprint arXiv:1711.07399] (Winners of The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation, Frame-based 3D Hand Pose Estimation)

• S. Yuan, G. Garcia-Hernando, B. Stenger, G. Moon, J. Y. Chang, K. M. Lee, P. Molchanov, J. Kautz, S. Honari, L. Ge, J. Yuan, X. Chen, G. Wang, F. Yang, K. Akiyama, Y. Wu, Q. Wan, M. Madadi, S. Escalera, S. Li, D. Lee, I. Oikonomidis, A. Argyros, and T.-K. Kim, "Depth-based 3D hand pose estimation: From current achievements to future goals," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [arXiv preprint arXiv:1712.03917]

• Ju Yong Chang and Yong Seok Heo, "Data augmented dynamic time warping for skeletal action classification," IEICE Transactions on Information and Systems, vol. E101-D, no. 6, pp. 1562-1571, 2018. [PDF]

• Ju Yong Chang and Kyoung Mu Lee, "2D-3D pose consistency-based conditional random fields for 3D human pose estimation," Computer Vision and Image Understanding (CVIU), vol. 169, pp. 52-61, 2018. [arXiv preprint arXiv:1704.03986]

• Ju Yong Chang and Ji Young Park, "Person identification using pose-based hough forests from skeletal action sequence," IEICE Transactions on Information and Systems, vol. E101-D, no. 3, pp. 767-777, 2018. [PDF]

• Ju Yong Chang, "DR-Net: denoising and reconstruction network for 3D human pose estimation from monocular rgb videos," IET Electronics Letters, vol. 54, no. 2, pp. 70-72, 2018. [PDF]

2017

• Do Hwan Lee, Ju Yong Chang, and Yong Seok Heo, "Stereo matching using cost volume fusion for high dynamic range scenes," IET Electronics Letters, vol. 53, no. 23, pp. 1522-1524, 2017.

• Gyeongsik Moon, Ju Yong Chang, Yumin Suh, and Kyoung Mu Lee, "Holistic planimetric prediction to local volumetric prediction for 3D human pose estimation," arXiv preprint arXiv:1706.04758, 2017.

• Soonchan Park, Ju Yong Chang, Hyuk Jung, Jae-Ho Lee, and Ji-Young Park, "Accurate and efficient 3D human pose estimation algorithm using single depth images for pose analysis in golf," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017.

Before 2017

• Ju Yong Chang, "Nonparametric feature matching based conditional random fields for gesture recognition from multi-modal video," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 8, pp. 1612-1625, 2016. [PDF]

• Ju Yong Chang and Kyoung Mu Lee, "Large margin learning of hierarchical semantic similarity for image classification," Computer Vision and Image Understanding (CVIU), vol. 132, pp. 3-11, 2015.

• Soonchan Park, Moonwook Ryu, Ju Yong Chang, and Jiyoung Park, "A hand posture recognition system utilizing frequency difference of infrared light," 20th ACM Symposium on Virtual Reality Software and Technology, pp. 65-68, 2014.

• Ju Yong Chang, "Nonparametric gesture labeling from multi-modal data," European Conference on Computer Vision (ECCV) Workshops, 2014. (3rd place for 2014 ChaLearn Looking at People Challenge, Gesture Recognition Track)

• Ju Yong Chang and Seung Woo Nam, "Fast random-forest-based human pose estimation using a multi-scale and cascade approach," ETRI Journal, vol. 35, no. 6, pp. 949-959, 2013.

• Heesoo Myeong, Ju Yong Chang, and Kyoung Mu Lee, "Learning object relationships via graph-based context model," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2727-2734, 2012.

• Alexander Limonov and Ju Yong Chang, "Energy based hole-filling technique for reducing visual artifacts in depth image based rendering," SID Symposium Digest of Technical Papers, vol. 42, no. 1, pp. 448-451, 2011.

• Ju Yong Chang, Haesol Park, In Kyu Park, Kyoung Mu Lee, and Sang Uk Lee, "GPU-friendly multi-view stereo reconstruction using surfel representation and graph cuts," Computer Vision and Image Understanding (CVIU), vol. 115, no. 5, pp. 620-634, 2011.

• Ju Yong Chang, Ramesh Raskar, and Amit Agrawal, "3D pose estimation and segmentation using specular cues," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

• Ju Yong Chang, Kyoung Mu Lee, and Sang Uk Lee, "Shape from shading using graph cuts," Pattern Recognition, vol. 41, no. 12, pp. 3749-3757, 2008.

• Ju Yong Chang, Kyoung Mu Lee, and Sang Uk Lee, "Stereo matching using iterative reliable disparity map expansion in the color-spatial-disparity space," Pattern Recognition, vol. 40, no. 12, pp. 3705-3713, 2007.

• Ju Yong Chang, Kyoung Mu Lee, and Sang Uk Lee, "Multiview normal field integration using level set methods," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2007.

• Ju Yong Chang, Kyoung Mu Lee, and Sang Uk Lee, "A new stereo matching model using visibility constraint based on disparity consistency," Advanced Concepts for Intelligent Vision Systems, vol. 4179, pp. 598-609, 2006.

• Ju Yong Chang, Kyoung Mu Lee, and Sang Uk Lee, "Stereo matching using iterated graph cuts and mean shift filtering," Asian Conference on Computer Vision (ACCV), vol. 3851, pp. 31-40, 2006.

• Ju Yong Chang, Kyoung Mu Lee, and Sang Uk Lee, "Shape from shading using graph cuts," International Conference on Image Processing (ICIP), pp. 421-424, 2003.

• In Kyu Park, Kyoung Mu Lee, Ju Yong Chang, and Sang Uk Lee, "Multiresolution topology estimation of 3-D range data," Asian Conference on Computer Vision (ACCV), pp. 469-474, 2002.

Domestic Publications

• 전도현, 장주용, "외관 변화를 고려한 적응적 다수 휴먼 추적 방법," 방송공학회논문지, vol. 28, no. 6, pp. 698-708, 2023.

• 홍진규, 노승영, 이희경, 추현곤, 장주용, "캘리브레이션 된 2시점 영상으로부터의 3차원 휴먼 복원," 한국방송미디어공학회 추계학술대회, 2023.

• 최재원, 전성호, 장주용, "단일 영상으로부터의 3차원 얼굴 복원을 위한 하이브리드 방법," 한국방송미디어공학회 추계학술대회, 2023.

• 나소연, 장소영, 조수연, 장주용, "얼굴 검출과 스타일 전이를 활용한 캐릭터 영상 생성 시스템," 한국방송미디어공학회 추계학술대회, 2023.

• 김도엽, 장주용, "후면 영상 합성을 활용한 단일 영상으로부터의 일반화 가능한 휴먼 Neural Radiance Fields," 한국방송미디어공학회 추계학술대회, 2023.

• 전도현, 장주용, "외관 변화를 고려한 2단계 다수 휴먼 추적 방법," 한국방송미디어공학회 하계학술대회, 2023.

• 김도엽, 장주용, "다시점 준지도 학습 기반 3차원 휴먼 자세 추정," 방송공학회논문지, vol. 27, no. 2, pp. 174-184, 2022.

• 김성현, 전도현, 장주용, "전역 3차원 휴먼 자세 및 메쉬 추정 기법," 영상처리 및 이해에 관한 워크샵, 2022.

• 김희균, 홍진규, 장주용, "저해상도 입력 영상을 위한 시선 추정 방법," 영상처리 및 이해에 관한 워크샵, 2022.

• 김태형, 장주용, "준지도 학습에 기반한 얼굴 움직임 단위 검출," 영상처리 및 이해에 관한 워크샵, 2022.

• 김도엽, 장주용, "3차원 휴먼 자세 추정을 위한 다시점 준지도 학습," 한국방송미디어공학회 추계학술대회, 2021.

• 조슈아 산토소, 전성호, 장주용, 박인규, "영상과 비디오로부터의 3차원 휴먼 자세 및 형상 복원 기술," 방송과 미디어, 2021.

• 김희균, 장주용, "저해상도 입력 영상에 강인한 초해상도 기반의 시선 추정 방법," 영상처리 및 이해에 관한 워크샵, 2021.

• 김도엽, 장주용, "3차원 인체 자세 시퀀스 개선을 위한 시간적 가중치 회귀 네트워크," 영상처리 및 이해에 관한 워크샵, 2021.

• 김도엽, 박민성, 장주용, "얼굴 생성 오토인코더를 이용한 단일 영상으로부터의 Valence 및 Arousal 추정," 한국방송미디어공학회 추계학술대회, 2020.

• 김희균, 장주용, "대형 디스플레이를 위한 얼굴 영상 기반 시선 추정 네트워크," 영상처리 및 이해에 관한 워크샵, 2020.

• 정선원, 장주용, "MeshLifter: 2차원 손 자세로부터 3차원 손 형상 복원을 위한 루프 구조 기반 비 지도 학습 방법," 영상처리 및 이해에 관한 워크샵, 2020.

• 김도엽, 장주용, "2차원과 3차원의 혼합 데이터에 기반한 단일 영상으로부터의 3차원 얼굴 특징점 검출," 영상처리 및 이해에 관한 워크샵, 2020.

• 김성현, 장주용, "인간 자세 추정을 위한 피라미드 적분 네트워크," 한국방송미디어공학회 추계학술대회, 2019.

• 김도엽, 장주용, "얼굴 특징점 검출을 위한 적분 회귀 네트워크," 방송공학회논문지, vol. 24, no. 4, pp. 564-572, 2019.

• 박민성, 정선원, 장주용, "얼굴 영상으로부터의 Valence/Arousal 회귀 네트워크," 영상처리 및 이해에 관한 워크샵, 2019.

• 김도엽, 장주용, "얼굴 특징점 검출을 위한 적분 회귀 네트워크," 영상처리 및 이해에 관한 워크샵, 2019.

• 장주용, "Structured prediction in computer vision," 전자공학회지, 2018.

• 장주용, 류문욱, 박순찬, "거리영상 기반 동작인식 기술동향," 전자통신동향분석, 2014.

• 유정재, 장주용, 김명하, 남승우, "입체 변환을 위한 3차원 공간 복원 시스템," 영상처리 및 이해에 관한 워크샵, 2013.

• 장주용, 이경무, "의미론적 유사도 함수의 학습을 통한 영상 범주화," 영상처리 및 이해에 관한 워크샵, 2012.

• 박인규, 장주용, "다중 영상으로부터의 3차원 형상 복원 기법," 정보처리학회지, 2010.

• 장주용, 이경무, 이상욱, "Stereo matching using iterated graph cuts and mean shift filtering," 영상처리 및 이해에 관한 워크샵, 2006.

• 장주용, 이경무, 이상욱, "Graph cut 기법을 이용한 shape from shading," 신호처리합동학술대회, 2002.

• 장주용, 박인규, 이경무, 이상욱, "비선형 확산 기법을 이용한 항공 영상에서의 강인한 직선 특징 추출 기법," 신호처리합동학술대회, 2001.

International Patents

• Ju Yong Chang et al., "Method of increasing photographing speed of photographing device," US 10,212,412.

• Ju Yong Chang et al., "Apparatus and method for analyzing golf motion," US 10,186,041.

• Moon Wook Ryu, Soonchan Park, Ju Yong Chang, Ji Young Park, Kwang Hyun Shim, Hee Kwon Kim, Hyuk Jeong, and Seung Woo Nam, "Method and apparatus for recognizing hand motion," US 9,412,013.

• Jin Sung Lee, Ju Yong Chang, Jong Sul Min, and Sung Jin Kim, "3D display apparatus and 3D display method thereof," US 8,913,106.

• Ju Yong Chang, Amit Kumar Agrawal, Ashok N. Veeraraghavan, Ramesh N. Raskar, and Jay E. Thorton, "Method and system for estimating 3D pose of specular objects," US 8,437,537.

• Ju Yong Chang, "Method for estimating 3D pose of specular objects," US 8,217,961.

Domestic Patents

• 장주용, 박민성, "감정 기반의 얼굴 영상 생성 시스템 및 방법," 10-2472110.

• 장주용, 김희균, "얼굴 영상 기반의 시선 추적 시스템 및 방법," 10-2198360.

• 장주용, "얼굴 영상 기반의 감정 인식 시스템 및 방법," 10-2147052.

• 장주용, "방송 콘텐츠에 대한 시청자의 심리적 반응 추정 시스템 및 방법," 10-1947079.