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Journals

International Journal

  1. Sungho Kim, In So Kweon, "Robust Model-based Scene Interpretation by Multilayered Context Information", Computer Vision and Image Understanding (CVIU), 105(3):167-187, 2007.

  2. Sungho Kim, In So Kweon, "Simultaneous Place and Object Recognition using Collaborative Context Information", Image and Vision Computing (IVC), 27(6): 824-833, 2009.

  3. Sungho Kim, In So Kweon, “Scalable Representation for 3D Object Recogntion using Feature Sharing and View Clustering”, Pattern Recognition (PR), Volume 41 , Issue 2, pp. 754-773,, February 2008.

  4. Sungho Kim, Kuk-Jin Yoon, In So Kweon, “Object Recognition using a Generalized Robust Invariant Feature and Gestalt’s law of Proximity and Similarity”, Pattern Recognition (PR), Volume 41, Issue 2, pp. 726-741, February 2008.

  5. Gijeong Jang, Sungho Kim, Inso Kweon, "Single-Camera Panoramic Stereo System with Single-Viewpoint Optics”, Optics Letters, 31(1):41-43, 2006.

  6. Sungho Kim, Gijeong Jang, Wang-heon Lee and In So Kweon, “Combined Model-based 3D Object Recognition”, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 19(7):839-852, 2005.

  7. Sungho Kim, In So Kweon, “Automatic Model-based 3D Object Recognition by Combining Feature Matching with Tracking”, Machine Vision and Applications (MVA),  16(5):267-272, 2005.

  8. Sungho Kim, Gijeong Jang, In So Kweon, "An Effective 3D Target Recognition Imitating Robust Methods of Human Visual System", Pattern Analysis and Applications (PAA), 8(3):211-226, 2005.

  9. Sungho Kim, In So Kweon, “3D Target Recognition using Cooperative Feature Map Binding under Markov Chain Monte Carlo”, Pattern Recognition Letters (PRL), 27 (7): 811-821, 2006.

  10. Sungho Kim, In So Kweon, “Biologically Motivated Perceptual Feature: Generalized Invariant Feature”, LNCS 3852:305-314 (ACCV’06), 2006.

  11. Sungho Kim, In So Kweon, “Scalable Representation and Learning for 3D Object Recognition using Shared Feature-based View Clustering”, LNCS 3852:561-570 (ACCV’06), 2006.

  12. Sungho Kim, In So Kweon, “Scene Interpretation: Unified Modeling of Visual Context by Particle-based Belief Propagation in Hierarchical Graphical Model”, LNCS 3852:963-972 (ACCV’06), 2006.

  13. Sungho Kim, Yukyung Yang, Joohyoung Lee, “Robust detection of horizontal small targets using synergistic spatial filtering”, Electronics Letters (EL), 45(12):620-621, 2009.

  14. Sungho Kim, Yukyung Yang, Joohyoung Lee, Yongchan Park, “Small Target Detection Utilizing Robust Methods of the Human Visual System for IRST”, Journal of Infrared Millimeter and Terahertz Waves (IRMMWTHz), 30(9):994-1011, 2009.

  15. Sungho Kim, Yukyung Yang, Byungin Choi, “Realistic infrared sequence generation by physics-based infrared target modeling for infrared search and track”, Optical Engineering, 49(11):1-7, 116401, 2010.

  16. Sungho Kim, “Robust Object Categorization and Segmentation Motivated by Visual Contexts in the Human Visual System”, EURASIP Journal on Advances in Signal Processing, Vol. 2011, Article ID 102418, pp. 1-22, 2010.

  17. Sungho Kim, “Double Layered-Background Removal Filter for Detecting Small Infrared Targets in Heterogenous Backgrounds”, Journal of Infrared, Millimeter, and Terahertz Waves, 32(1): 79-101, 2011.

  18. Sungho Kim, Joo-Hyoung Lee, “Robust scale invariant target detection using the scale-space theory and optimization for IRST”, Pattern Analysis and Applications”, 14(1): 57-66, 2011.

  19. Sungho Kim, “Min-local-LoG filter for detecting small targets in cluttered background”, Electronics Letters, 48(2): 105-106, 2011.

  20. Sungho Kim, Joohyoung Lee, "Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track", Pattern Recognition, 45(1): 393-406, 2012.

  21. Sungho Kim, "Robust Corner Detection by Image-Based Direct Curvature Field Estimation for Mobile Robot Navigation", International Journal of Advanced Robotic Systems, Vol. 9, No. 187, pp. 1-12, 2012.

  22. Sungho Kim, "Two-point correction and minimum filter-based nonuniformity correction for scan-based aerial infrared cameras", Optical Engineering, Vol. 51, No. 10, 106401, 2012.

  23. Sungho Kim, Soon Kwon, In So Kweon, "A Perceptual Visual Feature Extraction Method Achieved by Imitating V1 and V4 of the Human Visual System", Cognitive Computation, Published online (DOI 10.1007/s12559-012-9194-8), 2012.

  24. Sungho Kim, Sun-Gu Sun and Kyung-Tae Kim, " Highly efficient supersonic small infrared target detection using temporal contrast filter", Electronics Letters, Vol. 50, No. 2, pp. 81-83, 2014.

  25. Sungho Kim, Sun-Gu Sun and Kyung-Tae Kim, "Analysis of Infrared Signature Variation and Robust Filter-Based Supersonic Target Detection, The Scientific World Journal, Vol. 2014, pp. 1-17, 2014.

  26. Sungho Kim, Joohyoung Lee, "Small Infrared Target Detection by Region-Adaptive Clutter Rejection for Sea-Based Infrared Search and Track", Sensors, Vol. 14, 2014.

  27. Sungho Kim, "Analysis of small infrared target features and learning-based false detection removal for infrared search and track", Pattern Analysis and Applications, Published online, 2013.

  28. Sungho Kim, "Unsupervised Spectral-Spatial Feature Selection-Based Camouflaged Object Detection Using VNIR Hyperspectral Camera", The Scientific World Journal, 2015, pp. 1-8, 2015.

  29. Sungho Kim, " High-Speed Incoming Infrared Target Detection by Fusion of Spatial and Temporal Detectors", Sensors, 2015, pp. 7267-7293, 2015.

  30. Sungho Kim and Min-Sheob Shim, " Biologically Motivated Novel Localization Paradigm by High-Level Multiple Object Recognition in Panoramic Images", The Scientific World Journal, 2015, pp. 1-15, 2015.

  31. Sungho Kim, " Sea-Based Infrared Scene Interpretation by Background Type Classification and Coastal Region Detection for Small Target Detection", Sensor, 2015, pp. 24487-24513, 2015.

  32. Sungho Kim and Kyung-Tae Kim, "Adjacent Infrared Multitarget Detection Using Robust Background Estimation", Journal of Sensors, Vol. 2016, pp. 1-10, 2016.

  33. Heekang Kim, Soon Kwon, and Sungho Kim, "Hyperspectral Image-Based Night-Time Vehicle Light Detection Using Spectral Normalization and Distance Mapper for Intelligent Headlight Control", Sensors, 16(7), 1058, 1-15, 2016.

  34. Sungho Kim, Woo-Jin Song and So-Hyun Kim, “Robust Ground Target Detection by SAR and IR Sensor Fusion Using Adaboost-Based Feature Selection”, Sensors, 16(7), 1117, 1-27, 2016.

  35. Sungho Kim, Heekang Kim, “Hyperspectral image-based analysis of weathering sensitivity forsafety diagnosis of Seongsan Ilchulbong Peak”, International Journal of Applied Earth Observation and Geoinformation, 52, 485–501, 2016.

  36. Sungho Kim, Jin-Ju Won, “Closely Spaced Target Detection using Intensity Sorting-based Context Awareness”, J Electr Eng Technol 11(6): 1839-1845, 2016.

  37. Sungho Kim, “Infrared variation reduction by simultaneous background suppression and target contrast enhancement for deep convolutional neural networkbased automatic target recognition”, Optical Engineering, 56(6), 063108, 2017.

  38. Sungho Kim, Woo-Jin Song and So-Hyun Kim, “Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning”, Remote Sensing, 10(1):1-24, 2018.

  39. Sohyun Kim, Gwang-Il Jang, Sungho Kim, and Junmo Kim, “Computationally Efficient Automatic Coast Mode Target Tracking Based on Occlusion Awareness in Infrared Images”, Sensors, 18(4):996, 2019.

  40. Taehwan Kim, Sungho Kim, “Pedestrian detection at night time in FIR domain: Comprehensive study about temperature and brightness and new benchmark”, Pattern Recognition, 79(8):44-54, 2018.

  41. Sungho Kim , Jungho Kim, Jinyong Lee, and Junmo Ahn, “Midwave FTIR-Based Remote Surface Temperature Estimation Using a Deep Convolutional Neural Network in a Dynamic Weather Environment”, Micromachines, 9(10):495, 2018.

  42. Junhwan Ryu and Sungho Kim, “Chinese Character Boxes: Single Shot Detector Network for Chinese Character Detection”, Applied Sciences, 9(2):315, 2019.

  43. Sungho Kim , Jungho Kim, Jinyong Lee, and Junmo Ahn, “AS-CRI: A New Metric of FTIR-Based Apparent Spectral-Contrast Radiant Intensity for Remote Thermal Signature Analysis”, Remote Sensing, 11(7):777, 2019.

  44. Junhwan Ryu and Sungho Kim, "Heterogeneous Gray-Temperature Fusion-Based Deep Learning Architecture for Far Infrared Small Target Detection", Journal of Sensors, vol. 2019, Article ID 4658068, 2019.

  45. Sungmin Yun and Sungho Kim, "TIR-MS: Thermal Infrared Mean-Shift for Robust Pedestrian Head Tracking in Dynamic Target and Background variations", Applied Sciences, 2019, 9, 3015, 2019.

  46. Sungho Kim, Jungsub Shin, Joonmo Ahn, and Sunho Kim, "Extremely Robust Remote-Target Detection Based on Carbon Dioxide-Double Spikes in Midwave Spectral Imaging", Sensors, 20, 2896, 2020.

  47. Sungho Kim, "Novel Air Temperature Measurement Using Midwave Hyperspectral Fourier Transform Infrared Imaging in the Carbon Dioxide Absorption Band", Remote Sensing, 12, 1860, 2020.

  48. Ikhwan Song and Sungho Kim, "AVILNet: A New Pliable Network with a Novel Metric for Small-Object Segmentation and Detection in Infrared Images", Remote Sensing, 13, 555, 2021.

  49. Sungho Kim, Jungsub Shin and Sunho Kim, "AT2ES: Simultaneous Atmospheric Transmittance-Temperature-Emissivity Separation Using Online Upper Midwave Infrared Hyperspectral Images", Remote Sensing, 13, 1249, 2021.

  50. Jongchan Kim and Sungho Kim, "Temperature Estimation Adaptive to Variables over Distance Using Infrared–LiDAR", Applied Sciences, 11, 4063, 2021.

  51. Manar Alnaasan and Sungho Kim, "FAN-MCCD: Fast and Accurate Network for Multi-Scale Chinese Character Detection", Sensors, 21, 7289, 2021.

  52. Munhyeong Kim, Jongmin Jeong and Sungho Kim, "ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image", Remote Sensing, 13, 4851, 2021.

  53. INHO PARK, JONGMIN JEONG, AND SUNGHO KIM, "Accent for Visible and Infrared Registration (AVIR): Attention Block for Increasing Patch Matching Rate Through Edge Emphasis INHO", IEEE Access, 9: 160661-160674, 2021.

  54. Byungjin Kang, Inho Park, Changmin Ok and Sungho Kim, "ODPA-CNN: One Dimensional Parallel Atrous Convolution Neural Network for Band-Selective Hyperspectral Image Classification", Applied Sciences, 12, 174, 2021.

  55. Junhwan Ryu; Jongchan Kim; Heegon Kim; Sungho Kim. Multispectral interaction convolutional neural network for pedestrian detection. Computer Vision and Image Understanding 2022 .

  56. Sungho Kim; Jungsub Shin. AS-polRI: Analysis of apparent spectral polarization radiant intensity in the midwave infrared band for man-made object detection. Infrared Physics & Technology 2022, 127 .

  57. Ohtae Jang; Sangho Jo; Sungho Kim. Deriving Controllable Local optimal Solutions through an Environment Parameter Fixed Algorithm (EPFA-CLS). 2023 .

  58. Manar Alnaasan; Sungho Kim. Handwritten Multi-Scale Chinese Character Detector with Blended Region Attention Features and Light-Weighted Learning. Sensors 2023, 23, 2305 .

  59. Jang, O.; Jo, S.; Kim, S. Deriving Controllable Local Optimal Solutions through an Environment Parameter Fixed Algorithm. Appl. Sci. 2023, 13, 7110. 

  60. Bhattacharyya, C.; Kim, S. Black Ice Classification with Hyperspectral Imaging and Deep Learning. Appl. Sci. 2023, 13, 11977. ​

  61. Sangho Jo, Ohtae Jang, Chaitali Bhattacharyya, Minjun Kim, Taeseok Lee, Yewon Jang, Haekang Song, Hyukmin Kwon, Saebyeol Do, and Sungho Kim, "S-LIGHT: Synthetic Dataset for the Separation of Diffuse and Specular Reflection Images", Sensors (Basel). 2024 Apr 3;24(7):2286

  62. Manar Alnaasan, Wail Al Zoubi, Salh Alhammadi, Jee-Hyun Kang, Sungho Kim, Young Gun Ko, "Well-defined high entropy-metal nanoparticles: Detection of the multi-element particles by deep learning", Journal of Energy Chemistry, Vol. 98, 2024, (262-273).

  63. Shin, Y., Shin, H., Ok, J., Back, M., Youn, J., & Kim, S. (2024). DCEF2-YOLO: Aerial detection YOLO with deformable convolution–efficient feature fusion for small target detection. Remote Sensing, 16(6), 1071.

  64. D. Kim, S. Lee, I. Park, G. Kim and S. Kim, "RecNet: Reinforcement Common Feature Mapping Network for Fast Template Matching in Visible-LWIR Images," in IEEE Access, vol. 12, pp. 195890-195905, 2024

  65. Kim, M., Jang, O., Song, H., Shin, H., Ok, J., Back, M., ... & Kim, S. (2024). Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured. IEEE Access.

  66. S. Lee, D. Kim, I. Park, G. Kim and S. Kim, "Perceptible Lightweight Zero-Mean Normalized Cross-Correlation for Infrared Template Matching," in IEEE Access, vol. 12, pp. 164777-164791, 2024

  67. Yewon Jang, Sungho Kim, and Min Cheol Chang. "Usefulness of digital infrared thermography video using the FLIR T560 in detecting hypothermia associated with lumbosacral radiculopathy following spinal stenosis: A CARE-compliant case report." Medicine 104.11 (2025): e41874.

  68. Yewon Jang, Sungho Kim, and Min Cheol Chang. "Usefulness of digital infrared thermography video using FLIR T560 in detecting hypothermia associated with complex regional pain syndrome type I: A CARE-compliant case report." Medicine 104.25 (2025): e41876.

  69. ​Sungho Kim, Yewon Jang, Jaeho Kim, Kyeong Jin Jeong. "LSC-TES: Local spectral curvature-based accurate temperature-emissivity separation in indoor environments." Infrared Physics & Technology 148 (2025): 105837.

  70. Lee, Seongryeong, and Sungho Kim. "DDR-Net: Dual-Stream for Degraded Infrared Image Restoration Network." IEEE Access 13 (2025): 206531-206546.

  71. Srestha, S.D.; Kim, S. A systematic review of contactless respiratory rate measurement using RGB cameras. Physiol. Meas. 2025, 46, 09TR01.

  72. Kim J, Kim S, Srestha SD, Debnath U, Chang MC. Benefit of long-wave infrared camera in the measurement of respiratory rate: A pilot study. Journal of International Medical Research. 2025;53(12).

  73. Srestha, S.D.; Debnath, U.; Kim, S. Adaptive multi-ROI spectral analysis and signal quality weighting for respiratory rate estimation using rPPG method. In Proc. 25th Int. Conf. Control, Automation and Systems (ICCAS), 2025; pp. 1021–1024. IEEE.

  74. ​Debnath, U., Kim, S. A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning. BioMed Eng OnLine 24, 73 (2025).

  75. Selim Sarowar, and Sungho Kim. "Vision-Language-Action and Vision Language Models for Robot Manipulation : A Comprehensive Review Towards Real-World Applications", in International Journal of Control, Automation, and Systems. 
    3) Manar Alnaasan, Selim Sarowar, and Sungho Kim."Explainable Parkinsons Disease Gait Recognition Using Multimodal RGB-D Fusion and Large Language Models",arXiv.2512.04425.

  76. ​Debnath U, Kim S. Advanced signal-processing framework for remote photoplethysmography-based heart rate measurement: Integrating adaptive Kalman filtering with discrete wavelet transformation. PLoS One. 2026 Jan 20;21(1):e0340097.

  77. ​Srestha, S.D.; Kim, S. A hybrid CNN-spectral architecture for non-contact respiratory rate estimation using multi-region optical-flow analysis. PLoS ONE 2026, 21, e0325340.

  78. Selim Sarowar, Manar Alnaasan, and Sungho Kim, "C3G-VM6D: Data-Efficient C3G Vision Model Aided 6D Pose Estimation based on RGB-D Data," in IEEE Access, 10.1109/ACCESS.2026.3666439.

Domestic Journal

  1. 윤국진, 장기정, 김성호, 권인소, “이동 로봇을 위한 컬러 표식 기반 자기 위치 추정 기법”, Journal of Automation and System Engineering, Vol. 7, No. 9, September, 2001.

  2. 김성호, 김준식, 권인소, “지능형 이동 로봇에서 강인 물체 인식을 위한 영상 문맥 정보 활용 기법”, 로봇공학회 논문지, 제1권 1호, 2006.

  3. 김성호, 권인소, “비디오에서 양방향 문맥 정보를 이용한 상호 협력적인 위치 및 물체 인식”, 로봇공학회 논문지, 제1권 2호, 2006.

  4. 김성호, 양유경, “라플라스 스케일스페이스 이론과 적응 문턱치를 이용한 크기 불변 표적 탐지 기법”, 한국군사과학기술학회지, 제11권 제1호, pp. 66-74, 2008.

  5. 양유경, 김성호, “적외선 주사 영상에서 소형 표적의 탐지 및 추적을 위한 신뢰성 있는 측정치 선택 기법”, 한국군사과학기술학회지, 제11권 제1호, pp. 75-84, 2008.

  6. 심민섭, 김성호, " 초분광 영상 특징선택과 밴드비 기법을 이용한 유사색상의 특이재질 검출기법", Journal of Institute of Control, Robotics and Systems, 19권, 12호, pp. 1081-1088, 2013.

  7. 임윤지, 김태훈, 김성호, 송우진, 김경태, 김소현, " BMVT-M을 이용한 IR 및 SAR 융합기반 지상표적 탐지", Journal of Institute of Control, Robotics and Systems, 21권, 11호, pp. 1017-1026, 2015.

  8. 원진주, 김성호, 송우진, 김소현, “IR 영상 기반 자동 표적 인식 환경 영향 분석”, Journal of Institute of Control, Robotics and Systems, 23(2), 131-137, 2017.

  9. 손민석, 김성호, Masoud Afrakhteh, 이은령, 박미룡, “Dempster-Shafer Theory 기반의 CCD-IR 영상 융합 기법을 이용한 주/야간 보행자 검출 성능 향상 연구”, Journal of Institute of Control, Robotics and Systems, 23(6), 482-488, 2017.

  10. 류 준 환, 김 성 호, "데이터 기반 영역 제안 및 심층 학습 분류 네트워크를 이용한 소형 적외선 드론 검출", Journal of Institute of Control, Robotics and Systems, 24(12):1146-1151, 2018.

  11. 김 태 환 , 김 성 호, "Multi-Modal 영역제안 및 CNN-SVM 기반 야간 원거리 원적외선 보행자 검출", Journal of Institute of Control, Robotics and Systems, 25(8):713-721, 2019.

  12. 김성호, 황영배, 이왕헌, "특집호 서문: 딥러닝 및 머신비전의 산업적 적용", Journal of Institute of Control, Robotics and Systems, 26(11):883, 2020.

  13. 박인호, 김성호, "적대적 공격에 강인한 적대적 학습 기반의 초분광 영상 분류기 설계", Journal of Institute of Control, Robotics and Systems, 27(6):389-400, 2021.

  14. 김성호, 옥창민, "원거리 초분광 데이터 분류를 위한 환경 인자의 영향성 분석", Journal of Institute of Control, Robotics and Systems,  27(8):602-607, 2021.

  15. 이승언, 송해강, 장오태, 김정호, 김성호.(2023).생존성 향상을 위한 기만체 중첩 목적의 함정 최적 침로 기법.제어로봇시스템학회 논문지,29(4),294-300.

  16. 이성령, et al. "2D 카메라 얼굴 영상기반 비접촉형 심박수 측정 방식의 정확도 향상을 위한 ROI 추출 최적화 연구." 제어로봇시스템학회 논문지 29.3 (2023): 272-278.

  17. 김승한, 김성호, "AR 마커를 이용한 혼합현실 기반 구조물 안착 확인 시스템." 제어로봇시스템학회 논문지 30.7 (2024): 770-777.

  18. Firdiantika, Indah Monisa, et al. "Edge Computing-Based Stacked Package Recognition for AGV." 한국통신학회 학술대회논문집 (2023): 842-843.​

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