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POSTECH

김광인 부교수

학력

  • 1998.03 ~ 2000.08 경북대학교 (박사-컴퓨터공학)
  • 1996.03 ~ 1998.02 경북대학교 (석사-컴퓨터공학)
  • 1994.03 ~ 1996.02 동서대학교 (학사-컴퓨터공학)

주요경력

  • 2019.02 ~ 2023.03 울산과학기술원 전기전자공학과/컴퓨터공학과

전문분야

  • 인공지능
  • 머신러닝 (기계학습)
  • 컴퓨터비전

학술지

국제전문학술지
  • Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters, COMPUTER GRAPHICS FORUM, , 34, 86-98 (2015 )
  • Efficient Learning of Image SuperResolution and Compression Artifact Removal with SemiLocal Gaussian Processes, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, , 37, 1792-1805 (2015 )
  • Interactive motion mapping for realtime character control, COMPUTER GRAPHICS FORUM, , 33, 273-282 (2014 )
  • Automatic Noise Modeling for Ghostfree HDR Reconstruction, ACM TRANSACTIONS ON GRAPHICS, , 32, - (2013 )
  • Preference and Artifact Analysis for Video Transitions of Places, ACM TRANSACTIONS ON APPLIED PERCEPTION, , 10, - (2013 )
  • How Not to Be Seen Object Removal from Videos of Crowded Scenes, COMPUTER GRAPHICS FORUM, , 31, 219-228 (2012 )
  • NoRM NoReference Image Quality Metric for Realistic Image Synthesis, COMPUTER GRAPHICS FORUM, , 31, 545-554 (2012 )
  • Videoscapes Exploring Sparse Unstructured Video Collections, ACM TRANSACTIONS ON GRAPHICS, , 31, - (2012 )
  • SingleImage SuperResolution Using Sparse Regression and Natural Image Prior, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, , 32, 1127-1133 (2010 )
  • Iterative Kernel Principal Component Analysis for image modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, , 27, 1351-1366 (2005 )
  • Text information extraction in images and video a survey, PATTERN RECOGNITION, , 37, 977-997 (2004 )
  • TextureBased Approach for Text Detection in Images Using Support Vector Machines and Continuously Adaptive Mean Shift Algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, , 25, 1631-1639 (2003 )
  • Face recognition using kernel principal component analysis, IEEE Signal Processing Letters, , 9, 40-42 (2002 )
  • Face recognition using support vector machines with local correlation kernels, INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, , 16, 97-111 (2002 )
  • Support vector machines for texture classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, , 24, 1542-1550 (2002 )
  • Locating car license plates using neural networks, ELECTRONICS LETTERS, , 35, 1475-1477 (1999 )
  • Decomposition of Chinese character into strokes using mathematical morphology, Pattern Recognition Letters, , 20, 285-292 (1999 )

학술회의 논문

  • HInT Hypergraph Infusion at the Structural Layers Improves Table Understanding, Proceedings of the International Conference on Machine Learning (ICML), , 0, - (2026)
  • Piece of Table A divideandconquer approach for selecting subtables in table question answering, Proceedings of Annual Meeting of the Association for Computational Linguistics(ACL), , 0, - (2026)
  • Clientlevel Active Error Correction in Distributed Learning, Proceedings of the AAAI Conference on Artificial Intelligence, , 0, - (2026)
  • PoseBH Prototypical multidataset training beyond human pose estimation, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, , 0, 12278-12288 (2025)
  • DiffusionBased Active Learning for Distributed Client Manifolds, Proceedings of the AAAI Conference on Artificial Intelligence, , 0, - (2025)
  • Distributed active client selection with noisy clients using model association scores, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), , 0, 75-92 (2024)
  • In Search of a Data Transformation that Accelerates Neural Field Training, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, , 0, 4830-4839 (2024)
  • Robust distributed gradient aggregation using projections onto gradient manifolds, Proceedings of the AAAI Conference on Artificial Intelligence, , 0, 13151-13159 (2024)
  • Active learning guided by efficient surrogate learners, Proceedings of the Annual AAAI Conference on Artificial Intelligence, , 0, 10874-10881 (2024)
  • RGBTdog a parametric model and pose prior for canine body analysis data creation, Proceedings of the IEEECVF Winter Conference on Applications of Computer Vision (WACV), , 0, - (2024)
  • BoIR boxsupervised instance representation for multiperson pose estimation, Proceedings of the British Machine Vision Conference, , 0, - (2023)
  • Active label correction using robust parameter update and entropy propagation, Proceedings of the European Conference on Computer Vision, , 0, - (2022)
  • S2Contact Graphbased network for 3D handobject contact estimation with semisupervised learning, Proceedings of the European Conference on Computer Vision, , 0, - (2022)
  • Collaborative learning for hand and object reconstruction with attentionguided graph convolution, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2022)
  • Robust combination of distributed gradients under adversarial perturbations, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2022)
  • GaussiGAN Controllable image synthesis with 3D Gaussians from unposed silhouettes, Proceedings of the British Machine Vision Conference, , 0, - (2021)
  • Endtoend detection and pose estimation of two interacting hands, Proceedings of the International Conference on Computer Vision, , 0, - (2021)
  • Testing using privileged information by adapting features with statistical dependence, Proceedings of the International Conference on Computer Vision, , 0, - (2021)
  • Improving predictors via combination across diverse task categories, Proceedings of the International Conference on Machine Learning, , 0, - (2021)
  • Taskaware variational adversarial active learning, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2021)
  • Look here A parametric learning based approach to redirect visual attention, Proceedings of the European Conference on Computer Vision, , 0, - (2020)
  • Combining task predictors via enhancing joint predictability, Proceedings of the European Conference on Computer Vision, , 0, - (2020)
  • RGBDDog Predicting Canine Pose from RGBD Sensors, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2020)
  • Weaklysupervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2020)
  • Joint manifold diffusion for combining predictions on decoupled observations, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2020)
  • On implicit filter level sparsity in convolutional neural networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2019)
  • Pushing the envelope for RGBbased dense 3D hand pose estimation via neural rendering, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2019)
  • Unsupervised attentionguided image to image translation, Neural Information Processing Systems, , 0, - (2018)
  • Improving shape deformation in unsupervised imagetoimage translation, Proceedings of the European Conference on Computer Vision, , 0, - (2018)
  • Multitask deep networks for depthbased 6D object pose and joint registration in crowd scenarios, Proceedings of the British Machine Vision Conference, , 0, - (2018)
  • Ranking CGANs Subjective control over semantic image attributes, Proceedings of the British Machine Vision Conference, , 0, - (2018)
  • Highorder tensor regularization with application to attribute ranking, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2018)
  • Multitask learning by maximizing statistical dependence, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2018)
  • Augmented skeleton space transfer for depthbased hand pose estimation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2018)
  • Predictor Combination at Test Time, Proceedings of the International Conference on Computer Vision, , 0, - (2017)
  • Criteria sliders learning continuous database criteria via interactive ranking, Proceedings of the British Machine Vision Conference, , 0, - (2017)
  • RealTime online action detection forests using spatioTemporal contexts, Proceedings of the IEEE Winter Conference on Applications of Computer Vision, , 0, - (2017)
  • Cracking Android pattern lock in five attempts, Proceedings of the Network and Distributed System Security Symposium, , 0, - (2017)
  • Semisupervised learning based on joint diffusion of graph functions and Laplacians, Proceedings of the European Conference on Computer Vision, , 0, - (2016)
  • Monitoring dementia with automatic eye movements analysis, Proceedings of the 8th KES International Conference on Intelligent Decision Technologies KESIDT 2016, , 0, - (2016)
  • Improving style similarity metrics of 3D shapes, Proceedings of the 42nd Graphics Interface, , 0, - (2016)
  • Contextguided diffusion for label propagation on graphs, Proceedings of the International Conference on Computer Vision, , 0, - (2015)
  • Semisupervised learning with explicit relationship regularization, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2015)
  • Local highorder regularization on data manifolds, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2015)
  • Curvatureaware regularization on riemannian submanifolds, Proceedings of the International Conference on Computer Vision, , 0, - (2013)
  • Match graph construction for large image databases , Proceedings of the European Conference on Computer Vision, , 0, - (2012)
  • Background inpainting for videos with dynamic objects and a freemoving camera , Proceedings of the European Conference on Computer Vision, , 0, - (2012)
  • Efficient learningbased image enhancement Application to superresolution and compression artifact removal , Proceedings of the British Machine Vision Conference, , 0, - (2012)
  • Featurebased multivideo synchronization with subframe accuracy , Proceedings of the Joint 34th Symposium of the German Association for Pattern Recognition DAGM 2012, , 0, - (2012)
  • Spatiotemporal motion tracking with unsynchronized cameras , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, , 0, - (2012)
  • Semisupervised regression using Hessian energy with an application to semisupervised dimensionality reduction , Neural Information Processing Systems, , 0, - (2009)
  • Automatic 3D face reconstruction from single images or video , Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition FG 2008, , 0, - (2008)
  • Sparse multiscale Gaussian process regression , Proceedings of the International Conference on Machine Learning, , 0, - (2008)
  • ExampleBased Learning for SingleImage SuperResolution , Proceedings of the 30th DAGM Symposium on Pattern Recognition, , 0, - (2008)
  • Learning to remove JPEG artifacts , 한국정보과학회 2005 한국컴퓨터공합학술대회 논문집, , 0, - (2005)
  • Text Scanner with text detection technology on image sequences , Proceedings of the IEEE International Conference on Pattern Recognition, , 0, - (2002)
  • Recognition of facial images using support vector machines , Proceedings of the IEEE Workshop on Statitical Signal Processing, , 0, - (2001)
  • SVM 기반 실시간 얼굴 포즈 인식 시스템) , 한국정보과학회 인간과 컴퓨터 상호 작용 연구회 학술대회 (HCI 2001) 발표논문집, , 0, - (2001)
  • Learningbased approach for license plate recognition , Proceedings of the 10th IEEE Workshop on Neural Network for Signal Processing (NNSP2000), , 0, - (2000)
  • A video indexing system using character recognition , Proceedings of the 19th International Conference on Consumer Electronics, , 0, - (2000)

IP

  • 전명재,전성호,MAXINYUE,김광인, 엣지 디바이스에서 연속 학습을 수행하는 방법 및 장치, USA, 19/702,627 (P202)
  • 김광인,이원진,김규민, 데이터를 출력하는 방법, 데이터를 획득하는 방법 및 장치, USA, 19/776,101 (P202)
  • 김광인,홍연주,이성재, 로봇 장치의 제어 방법 및 이를 실행하는 로봇 장치, 한국, 10-2025-0117817 (P202)
  • 김광인,이성재,홍연주, 로봇 제어 방법 및 장치, 한국, 10-2025-0115834 (P202)
  • 김광인, 연합 학습 환경에서의 신경망 모델 학습 방법 및 장치, 한국, 10-2025-0111434 (P202)
  • 김광인, 분산 학습 환경에서 인공 신경망의 학습을 수행하는 방법 및 장치, 한국, 10-2024-0120842 (P202)
  • 김광인,정수미,이원진, 인공지능 모델 기반의 데이터 처리 방법 및 이를 수행하는 전자 장치, 한국, 10-2026-0106631 (IP26)
  • 백성은,이정목,김성빈,김광인, 데이터 전처리 방법, 출력 데이터 생성 방법 및 데이터 전처리 장치, 한국, 10-2026-0109515 (IP26)
  • 김광인,이지훈, 행동-객체 의미 관계 학습과 객체 위치 기반 학습 감독을 이용한 1인칭 시점 참조 영상 객체 분할 방법, 한국, 10-2026-0122571 (IP26)
  • 전명재,전성호,MAXINYUE,김광인, 엣지 디바이스에서 연속 학습을 수행하는 방법 및 장치, 한국, 10-2025-0183285 (IP25)
  • 김광인,이원진,김규민, 데이터를 출력하는 방법, 데이터를 획득하는 방법 및 장치, 한국, 10-2025-0153841 (IP25)
  • 김광인,홍연주,이성재, 이미지 내의 어포던스 영역을 결정하는 방법 및 장치, 한국, 10-2025-0178188 (IP25)
  • 김광인,이성재,홍연주, 로봇 제어 방법 및 장치, 한국, 10-2025-0093750 (IP25)
  • 김광인,홍연주,이성재, 지식 증류를 통한 로봇 조작 인공지능 모델의 성능 향상 방법, 한국, 10-2024-0162371 (IP24)
  • 김광인,이성재,홍연주, 로봇 조작 행동 정책 학습에서 파지 정확도를 향상시키는 이미지 편집 방법, 한국, 10-2024-0162347 (IP24)
  • 김광인, 데이터 레이블 오류가 있는 연합 학습 환경에서 통신 효율을 향상시키는 능동 클라이언트 선택 기법, 한국, 10-2024-0130284 (IP24)
  • 김광인, 분산 신경망 학습 환경에서 다양체 투영을 통해 데이터 잡영에 강건하게 그래디언트를 병합하는 학습방법, 한국, 10-2023-0191792 (IP23)

학회발표

  • REP ResourceEfficient Prompting for RehearsalFree Continual Learning, Advances in Neural Information Processing Systems 38 (NeurIPS 2025), , 0, - (2025)

연구실적

  • 김광인 신규부임교수 초기정착비(1차/학과), 포항공과대학교 (2023-2024)
  • 김광인 신규부임교수 초기정착비(1차/대학), 포항공과대학교 (2023-2024)
  • [22년 잔액 이관]멀티 도메인 자세 추정 시스템 학습을 위한 데이터 효율적인 기계학습 기법, 재단법인한국연구재단 (2023-2024)
  • 멀티 도메인 자세 추정 시스템 학습을 위한 데이터 효율적인 기계학습 기법 연구, 재단법인한국연구재단 (2023-2024)
  • 이상징후 판단기술 개발 지원, (주)쎄트렉아이 (2023-2025)
  • 환경분할 기법을 활용한 이상징후 판단 딥러닝 네트워크 기술 개발, 주식회사 에스아이에이 (2023-2025)
  • 김광인 신규부임교수 초기정착비(2차)/학과, 포항공과대학교 (2024-2025)
  • 김광인 신규부임교수 초기정착비(2차)/대학, 포항공과대학교 (2024-2025)
  • 멀티모달 언어모델 적응을 위한 강건하고 데이터 및 통신 효율적인 분산 협력 학습 기법 연구, 재단법인한국연구재단 (2024-2025)
  • 2.5D 비디오용 소형 생성 모델, 한국마이크로소프트(유) (2024-2025)
  • [SR전략] 갤러리의 CROPPED IMAGE-TO-IMAGE 검색을 위한 효율적 영상 특징화 기법 연구, 삼성전자(주) (2024-2025)
  • 청년SW아카데미 AI 교육고도화 개발 산업 자문, (주)멀티캠퍼스 (2024-2025)
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