International Journal

  1. Y. Kee, Y. Lee, M. Souiai, D. Cremers, and J. Kim, “Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization,” to appear in SIAM Journal on Imaging Sciences.
  2. H. Lee, H. Hong, D. C. Jung, S. Park, and J. Kim, “Differentiation of Fat-poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma in Contrast-enhanced MDCT Images Using Quantitative Feature Classification,” to appear in Medical Physics.
  3. Sungryull Sohn, Hyunwoo Kim, and Junmo Kim, “Uncorrelated Component Analysis-based Hashing,” to appear in IEEE Transactions on Image Processing.
  4. Matthieu de La Roche Saint Andre, Laura Rieger, Morten Hannemose, and Junmo Kim, "Tunnel Effect in CNNs: Image Reconstruction From Max-Switch Locations," IEEE Signal Processing Letters, vol. 24, no. 3, pp. 254–258, Mar. 2017.
  5. Sunjeong Park, Hansang Lee, and Junmo Kim, "Seed growing for interactive image segmentation using SVM classification with geodesic distance", Electronics Letters, vol. 53, no. 1, pp. 22–24, Jan. 2017.
  6. Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, and Junmo Kim, "Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support." Image Processing, IEEE Transactions on 25.1 (2016):9-23.
  7. Youngwook Kee, Han S. Lee, Junho Yim, Daniel Cremers, and Junmo Kim, "Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications." IEEE Signal Processing Letters, Vol. 22, No. 11, pp. 1922-1926, Nov., 2015.
  8. Wonjun Hwang and Junmo Kim, "Markov Network-based Unified Classifier for Face Recognition." IEEE Trans. on Image Processing, Vol. 24, No. 11, pp. 4263-4275, Nov., 2015.
  9. Wonjun Hwang, Xiangsheng Huang, Stan Z. Li, and Junmo Kim, "Face Recognition Using Extended Curvature Gabor Classifier Bunch." Pattern Recognition, Vol. 48, No. 4, pp. 1243-1256, Apr., 2015.
  10. Wonjun Hwang, Wonjun Kim, Sungjoo Suh, Jae-joon Han, and Junmo Kim, "Face Recognition using Average Example Image." Electronics Letters, Vol. 50, No. 25, pp. 1921-1923, Dec., 2014.
  11. Hansang Lee, Helen Hong, and Junmo Kim, "Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement", Computers in Biology and Medicine, Vol. 55, No. 1, pp. 1-10, Dec. 2014.
  12. Ihnjung Baik, Saeyoung Chung, and Junmo Kim, "Achievable rates of multi-antenna downlink channels with peak power constraints" IEEE Transactions on Communications, Vol. 60, No. 8, pp. 2199-2207, Aug. 2012.
  13. Jinyoung Hwang, Junmo Kim, Yeji Han, and Hyunwook Park, "An Automatic Cerebellum Extraction Method in T1-weighted Brain MR Images Using an Active Contour Model with a Shape Prior," Magnetic Resonance Imaging, vol. 29, no. 7, pp. 1014-1022, 2011.
  14. Wonjun Hwang, Haitao Wang, Hyunwoo Kim, Seokcheol Kee, and Junmo Kim, "Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature under Uncontrolled llumination Variation," IEEE Transactions on Image Processing, 20(4):1152–1165, Apr 2011.
  15. Daewon Seo, Sangwoon Jeon, Saeyoung Chung, Junmo Kim, "Rate Enhancement for the Gaussian Z-Interference Channel with Transmitter Cooperation" IEEE Communication Letters, vol. 14, no. 9,September 2010.
  16. J. Kim, H. Kwon, C. S. Park, G. Kim, D. Hwang, and S. Kim, “MIMO Broadcast Channels with User Cooperation,” Samsung Journal of Innovative Technology, February 2008.
  17. D. Hwang, J. Kim, and S. Kim, “Resource Partitioning with Beamforming for the Decode-Forward Relay Networks,” EURASIP Journal on Wireless Communications and Networking, vol. 2008, Article ID 853164, 6 pages, 2008. doi:10.1155/2008/853164.
  18. J. Kim, M. Cetin, and A. Willsky, “Nonparametric Shape Priors for Active Contour-Based Image Segmentation,” Signal Processing, vol. 87, no. 12, pp. 3021--3044, December 2007.
  19. J. Kim, J. Fisher III, A. Yezzi, Jr., M. Cetin, and A. Willsky, “A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution,” IEEE Transactions on Image Processing, vol. 14, no. 10, pp. 1486--1502, October 2005.


Selected Conference Proceedings (CS Top Conferences)

  1. Junho Yim, Donggyu Joo, Ji-Hoon Bae, and Junmo Kim, “A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning,” accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  2. Dongyoon Han, Jiwhan Kim, and Junmo Kim, “Deep Pyramidal Residual Networks,” accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  3. Yunho Jeon and Junmo Kim, “Active Convolution: Learning the Shape of Convolution for Image Classification,” accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  4. Gayoung Lee, Yu-Wing Tai, and J. Kim, “Deep Saliency with Encoded Low level Distance Map and High Level Features,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  5. SungRyull Sohn, Hyunwoo Kim, and Junmo Kim, “Supervised Hashing via Uncorrelated Component Analysis,” The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
  6. Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park and Junmo Kim, “Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition,” IEEE International Conference on Computer Vision (ICCV), 2015.
  7. Mohamed Souiai, Martin Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, and Daniel Cremers, “Entropy Minimization for Convex Relaxation Approaches,” IEEE International Conference on Computer Vision (ICCV), 2015.
  8. Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Dusik Park, Junmo Kim, “Rotating Your Face Using Multi-task Deep Neural Network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  9. Dongyoon Han, Junmo Kim, “Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  10. Kibok Lee and Junmo Kim, “On the Equivalence of Linear Discriminant Analysis and Least Squares,” The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015.
  11. Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim, “Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  12. Youngwook Kee, Junmo Kim, “A Convex Relaxation of Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  13. Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim, “Salient Region Detection via High Dimensional Color Transform,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  14. Heechul Jung, Jeongwoo Ju, Junmo Kim, “Rigid Motion Segmentation using Randomized Voting,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  15. Wonjun Hwang, Kyungshik Roh, and J. Kim, “Markov Network-based Unified Classifier for Face Identification,” IEEE International Conference on Computer Vision (ICCV), 2013.
  16. J. Kim, J. Fisher III, A. Tsai, C. Wible, A. Willsky, and W. Wells, “Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis.”Third International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 1935 of Lecture Notes in Computer Science, pages 62–71. Springer, (MICCAI), Oct 2000.
  17. A. Tsai, J. Fisher III, C. Wible, W. Wells, J. Kim, and A. Willsky, “Analysis of fMRI Data Using Mutual Information.” In C. Taylor and A. Colchester, editors, Second International Conference on Medical Image Computing and Computer-Assisted Inter-vention, volume 1679 of Lecture Notes in Computer Science, pages 473–480. Springer, (MICCAI), Sep 1999.

International Conferences

      1. Jaemyung Lee, Sihaeng Lee, Youngdong Kim, Janghyeon Lee and Junmo Kim, "Refine Pedestrian Detections by Referring to Features in Different Ways", accepted to IEEE Intelligent Vehicles Symposium(IV), 2017.
      2. Junho Yim, Donggyu Joo, Ji-Hoon Bae, and Junmo Kim, “A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning,” accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      3. Dongyoon Han, Jiwhan Kim, and Junmo Kim, “Deep Pyramidal Residual Networks,” accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      4. Yunho Jeon and Junmo Kim, “Active Convolution: Learning the Shape of Convolution for Image Classification,” accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      5. Woo Jin Hyung, Taeil Son, Minseok Park, Hansang Lee, Youn Nam Kim, Hyoung-Il Kim, Jong Won Kim, Jae-Ho Cheong, Seung Ho Choi, Sung Hoon Noh, and Junmo Kim, "Superior prognosis prediction performance of deep learning for gastric cancer compared to Yonsei prognosis prediction model using Cox regression," ASCO 2017 Gastrointestinal Cancers Symposium, 2017, accepted.
      6. H.S. Lee, H. Hong, and J. Kim, "Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification," Intl. Symp. Biomed. Img. (ISBI 2017), accepted.
      7. H. Lee, M. Park, J. Kim, "Cephalometric landmark detection in dental X-ray images using convolutional neural networks," SPIE Med. Img. 2017, accepted.
      8. H. Lee, H. Lee, M. Park, J. Kim, "Contextual convolutional neural networks for lung nodule classification using Gaussian weighted average image patches," SPIE Med. Img. 2017, accepted.
      9. Heechul Jung, JongHoon Kwak, Jeongwoo Ju and Junmo Kim, "An Automatic Self Lane Recognition using Multi-lane and Lane Change Detection", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2016.
      10. Hansang Lee, Minseok Park, and Junmo Kim, "Plankton Classification on Imbalanced Large Scale Database via Convolutional Neural Networks with Transfer Learning", In Proc. of the 23rd IEEE International Conference on Image Processing (ICIP 2016), pp.3713-3717, 2016.
      11. Sunjeong Park, Han S. Lee, and Junmo Kim, "Seed Growing for Interactive Image Segmentation with Geodesic Voting", In Proc. of the 23rd IEEE International Conference on Image Processing (ICIP 2016), pp.2564-2568, 2016.
      12. Hansang Lee and Junmo Kim, "Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-wise Contour Refinement", CVPR Workshop on Computer Vision for Microscopy Image Analysis (CVPR-CVMI 2016), Las Vegas, NV, USA, Jul. 1, 2016.
      13. Hansang Lee, Minseok Park, and Junmo Kim, "Transfer learning with under-sampled data for super-imbalanced large scale data set for plankton classification", CVPR Works. Large Scale Vis. Recog. Retrv. (BigVision 2016)
      14. Gayoung Lee, Yuwing Tai, Junmo Kim, "Deep Saliency with Encoded Low level Distance Map and High Level Features",  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
      15. Hansang Lee, and Junmo Kim, "Multi-layered atlas registrations for multi-atlas segmentation of brain MRI", Ann. Meet. Intl. Soc. Mag. Res. Med. (ISMRM 2016)
      16. HS Lee, H. Hong, D.C. Jung, S.H. Park, J Kim, "Quantitative CT texture analysis and classification of small renal masses on contrast-enhanced CT images", Intl. Symp. Biomed. Img. (ISBI 2016)
      17. SungRyull Sohn, Hyunwoo Kim, and Junmo Kim, "Supervised Hashing via Uncorrelated Component Analysis", The Thirtieth AAAI CONFERENCE (AAAI-16)
      18. Hansang Lee, Hyeun A Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim, "Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations", The 2016 SPIE Medical Imaging
      19. Injae Lee, Heechul Jung, Chunghyun Ahn, Jeongil Seo, Junmo Kim, Oh Seok Kwon, "Real-time Personalized Facial Expression Recognition System Based on Deep Learning", International Conference on Consumer Electronics
      20. Yeakang Lee, Jiwhan Kim, Minju Jung, and Junmo Kim, "Making a More Reliable Classifier via Random Crop Pooling", Proc. RiTA 2015, 2015.
      21. Mohamed Souiai, Martin Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, and Daniel Cremers, "Entropy Minimization for Convex Relaxation Approaches", IEEE International Conference on Computer Vision (ICCV), 2015.
      22. Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park and Junmo Kim, "Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition", IEEE International Conference on Computer Vision (ICCV), 2015.
      23. Jiwhan Kim, Dongyoon Han, Sungryull Sohn, and Junmo Kim, "Facial Age Estimation via Extended Curvature Gabor Filter", IEEE International Conference on Image Processing (ICIP), 2015
      24. Dongyoon Han, Jung Eun, Pyunghwan Ahn, Jeonghyo Ha, Donghoon Shin, and Junmo Kim, "Automatic Drawing Simplification via Complex Zernike Moments", in Proc. ITC-CSCC, 2015
      25. Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Dusik Park, Junmo Kim, "Rotating Your Face Using Multi-task Deep Neural Network", ;IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
      26. Dongyoon Han, Junmo Kim, "Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection", ;IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
      27. Kibok Lee and Junmo Kim, “On the Equivalence of Linear Discriminant Analysis and Least Squares,” The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015.
      28. Jeongwoo Ju, Dongyoon Han, Jiwhan Kim, Injae Lee, Jihun Cha and Junmo Kim, "New Control Owner Switching System for Multiple TV Viewers via Face Recognition", International Conference on Consumer Electronics (ICCE), 2015.
      29. Junho Yim, Jeongwoo Ju, Heechul Jung, and Junmo Kim, "Image Classification Using Convolutional Neural Networks with Multi-Stage Feature", Proc. RiTA 2014, 2014.
      30. Sojung Yun, and Junmo Kim, "Face Verification Across Pose via Look-Alike Ranked List Comparison", Proc. RiTA 2014, 2014.
      31. ByungIn Yoo, Wonjun Kim, Jae-Joon Han, Changkyu Choi, Dusik Park, and Junmo Kim, "Randomized Decision Bush: Combining Global Shape Parameters and Local Scalable Descriptors for Human Body Parts Recognition", IEEE International Conference on Image Processing (ICIP), 2014.
      32. Youngwook Kee, Mohamed Souiai, Daniel Cremers, Junmo Kim, "Sequential Convex Relaxation for Mutual Information Based Unsupervised Figure-Ground Segmentation",  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
      33. Youngwook Kee, Junmo Kim, "A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functional for the Mumford-Shah Functional",  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
      34. Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim, "Salient Region Detection via High Dimensional Color Transform",  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
      35. Heechul Jung, Jeongwoo Ju, Junmo Kim, "Rigid Motion Segmentation using Randomized Voting",  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014. (project)
      36. Dongyoon Han, Jiwhan Kim, Jeongwoo Ju, Injae Lee, Jihun Cha, Junmo Kim, "Efficient and Fast Multi-View Face Detection Based on Feature Transformation", ICACT, 2014.
      37. ByungIn Yoo, Changkyu Choi, NamJoon Kim, Jae-Joon Han, Dusik Park, and Junmo Kim,“RoVatar: Semi-autonomous Robot Boxing Game by Miniature Avatars”, In Proceedings of ACM CHI '14 Extended Abstracts on Human Factors in Computing Systems, 2014.
      38. Dongyoon Han, Junmo Kim, "Texture Classification Based on Discriminative Component Selection of Local Binary Pattern and Variants", FCV, 2014.
      39. ByungIn Yoo, Changkyu Choi, Jaejoon Han, Changkyo Lee, Wonjun Kim, Sungjoo Suh, Dusik Park, and Junmo Kim, “Real-time 3D Human Pose Recognition from Reconstructed Volume via Voxel Classifiers”, Proceeding of IS&T/SPIE Electronic Imaging 2014. 
      40. Hansang Lee, Jiwhan Kim, and Junmo Kim, "Automatic salient object detection using principal component analysis," Proc. RiTA 2013, 2013.
      41. Wonjun Hwang, Kyungshik Roh, and Junmo Kim, “Markov Network-based Unified Classifier for Face Identification,” IEEE International Conference on Computer Vision (ICCV), 2013.
      42. Youngsoo Kim, Jonghoon Kwak, and Junmo Kim, “Calibration free gaze estimation using restricted Boltzmann machines,” The 6th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems, Sep. 29-Oct. 2, 2013, Seoul, Korea
      43. Jiwhan Kim, Hansang Lee, and Junmo Kim, "A Novel Method for Salient Object Detection via Compactness Measurement", IEEE International Conference on Image Processing (ICIP), 2013.
      44. Wonjun Hwang, Kyungshik Roh, and Junmo Kim, “Markov Network-Based Multiple Classifier for Face Image Retrieval,” IEEE International Conference on Image Processing (ICIP), 2013
      45. Heechul Jung, Junggon Min, and Junmo Kim, "An Efficient Lane Detection Algorithm For Lane Departure Detection", IEEE Intelligent Vehicles Symposium(IV) 2013.
      46. Sandeul Kang, Hansang Lee, Jiwhan Kim, and Junmo Kim, "Automatic Image Segmentation Using Saliency Detection and Superpixel Graph Cuts",  International Conference on Robot Intelligence and Technology Application 2012 (RITA).
      47. Jeongwoo Ju,  Heechul Jung, Junmo Kim, "Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment", International Conference on Robot Intelligence and Technology Application 2012 (RITA).
      48. SungRyull Sohn, Hansang Lee, Heechul Jung, and Junmo Kim, "High-definition Video-based Multi-channel Top-view Vehicle Surrounding Monitoring System for Mobile Navigation Devices ", International Conference on Consumer Electronics (ICCE), 2013.
      49. Jeongwoo Ju, Heechul Jung, and Junmo Kim" Speaker Dependent Visual Speech Recognition Using Extended Curvature Gabor Filters", International Conference on Consumer Electronics (ICCE), 2013.
      50. Hansang Lee, Helen Hong, and Junmo Kim, "Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints," Asian Conference on Computer Vision (ACCV), 2012.
      51. Youngwook Kee, Daniel Cremers, and Junmo Kim, "Groupwise Shape Registration Based on Entropy Minimization," DAGM-OAGM 2012.
      52. Dewey Ho Lee, Seokbong Yoo, Myungjin Choi,  Jongbeom Ra, and Junmo Kim, "Block Poisson Method and Its Application to Large Scale Image Editing," IEEE International Conference on Image Processing (ICIP), 2012.
      53. H. Lee, D. H. Lee, Heechul Jung, M. Choi, and J. Kim, "Global Color Balancing for Satellite Image Mosaicing Using Decorrelated Color Spaces," Proc. International Conference on Electronics, Information and Communication (ICEIC), pp.567-568, 2012. 
      54. H. Lee, S. S. Lee, and J. Kim, "Image Deblurring Using Fast Minimization of the Mumford-Shah Functional," Proc. International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), pp.514-517, 2011.
      55. W. Hwang, X. Huang, K. Noh, and J. Kim,"Face recognition system using extended curvature Gabor classifier bunch for low-resolution face image" IEEE Workshop on Biometrics, June 2011.
      56. Ihn-Jung Baik, Sae-Young Chung, and Junmo Kim,"Two-User Multi-Antenna Downlink Channels with Peak Power Constraints" GLOBECOM 2010, 2010 IEEE Global Telecommunications Conference Date:6-10 Dec 2010.
      57. J. Hwang, J. Kim, and H. Park, "A Fully Automatic Cerebellum Segmentation Method using an Active Contour Model with Shape Prior," 18th annual meeting of International Society for Magnetic Resonance in Medicine (ISMRM), May 2010.     
      58. W. Hwang, H. Ren, H. Kim, S.-C. Kee, and J. Kim, “ Face Recognition Using Gender Information,” IEEE International Conference on Image Processing, 2009.     
      59. J. Kim, H. Kwon, C. S. Park, G. Kim, D. Hwang, and S. Kim, “MIMO Broadcast Channels with User Cooperation,” Samsung Tech Conference, 2007     
      60. J. Kim, M. Cetin, and A. Willsky, “Nonparametric Shape Priors for Active Contour-Based Image Segmentation,” EURASIP European Signal Processing Conference, Antalya, Turkey, September 2005.
      61. J. Kim, J. Fisher III, M. Cetin, A. Yezzi, Jr., and A. Willsky, “Incorporating Complex Statistical Information in Active Contour-based Image Segmentation,” IEEE International Conference on Image Processing, vol. 2, pp. 655-658, September 2003.
      62. J. Kim, J. Fisher III, A. Yezzi, Jr., M. Cetin, and A. Willsky, “Nonparametric Methods for Image Segmentation using Information Theory and Curve Evolution,” IEEE International Conference on Image Processing, vol. 3, pp. 797-800, September 2002.     
      63.  J. Kim, A. Tsai, M. Cetin, and A. Willsky, “A Curve Evolution-Based Variational Approach to Simultaneous Image Restoration and Segmentation,” IEEE International Conference on Image Processing, vol. 1, pp. 109-112, September 2002.     
      64.  J. Kim, J. Fisher III, A. Tsai, C. Wible, A. Willsky, and W. Wells, “Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis,” Third International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 1935 of Lecture Notes in Computer Science, pages 62?71, Springer, Oct 2000.
      65. A. Tsai, J. Fisher III, C. Wible, W. Wells, J. Kim, and A. Willsky, “Analysis of fMRI Data Using Mutual Information,” Second International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 1679 of Lecture Notes in Computer Science, pages 473?480, Springer, Sep 1999.


            Domestic Journals

            1. 황원준, 김지환, 한동윤, 김준모, "실감 방송을 위한 얼굴 인식 기술 소개," 방송공학회지, 19권, 3호, pp. 111-122, 2014년 7월
            2. 이한상, 홍헬렌, 김준모, "무릎 자기공명영상에서 형상 사전정보 기반의 그래프 컷을 이용한 전방십자인대 분할," 한국정보과학회 논문지: 소프트웨어 및 응용, 제41권, 제1호, pp.36-45, 2014년 1월
            3. 강산들,황중원,정희철,한동윤,심성대,김준모,"지역적, 전역적 특징을 이용한 환경 인식", 2012년도 한국군사과학기술학회지, 제15권, 제3호, pp.298~305, 2012년 6월.
            4. 황원준, 김준모, "Face Recognition Grand Challenge (FRGC) 및 조명 변화에 강인한 얼굴 인식 기술 개발 동향," 전자공학회지, 제39권, 제2호, pp.36-44, 2012년 2월.

            Domestic Conferences

            1. 이한상, 김준모, "스타일넷 기반의 사진 스케치 변환", 제28회 영상처리 및 이해에 관한 워크샵, 2016년 2월
            2. 박민석, 이종호, 임준호, 정민주, 김준모, "MSER과 CNN을 이용한 크기변화에 강인한 글자영역 검출기법", 제28회 영상처리 및 이해에 관한 워크샵, 2016년 2월.
            3. 주정우,김준모, "Least Square 이용한 화자종속 영상음성인식대한전자공학회 하계종합학술대회, 2014 6
            4. 이한상, 김지환, 김준모, "비과잉성 특징점 추출을 통한 전역 영상 중요도 검출," 제26회 영상처리 및 이해에 관한 워크샵, 2014, 승인.
            5. 이한상, 윤소정, 홍헬렌, 김준모, "무릎 자기공명영상에서 전방십자인대 분할 기반의 경골 및 대퇴골의 전방십자인대 부착부위 자동 검출," 제26회 영상처리 및 이해에 관한 워크샵, 2014, 승인.
            6. 이한상, 홍헬렌, 김준모, "무릎 자기공명영상에서 그래프 컷 기반 전방십자인대 분할," 2013년도 대한의학영상정보학회 학술대회, 2013.
            7. 이한상, 김지환, 김준모, "군집 밀도 평가를 이용한 주성분 분석 기반 영상 중요도 검출," 2013년도 한국멀티미디어학회 춘계학술발표대회, 제16권, 제1호, pp.308-309, 2013.
            8. 김지환, 이한상, 김준모, "차별적 색상 변환 재현을 이용한 관심 영역 검출", 한국멀티미디어학회 춘계학술발표대회, 2013년 6월.
            9. 이한상윤소정강산들김준모, "랜덤 샘플링 기반의 전역  대비를 통한 중요도 검출," 25 영상처리  이해에 관한 워크샵, 2013.
            10. 김지환이한상김준모,  "조밀도 측정을 이용한 관심영역 검출," 25 영상처리  이해에 관한 워크샵, 2013년.
            11. 주정우, 김준모, "Local Binary Pattern을 이용한 화자종속 영상음성인식", 제 25회 영상처리 및 이해에 관한 워크샵, 2013년 2월.
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