BISSER ROUMENOV RAYTCHEV

Last Updated :2024/10/01

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
Web Site
E-mail
bisserhiroshima-u.ac.jp
Other Contact Details
1-4-1,Kagamiyama,Higashi-Hiroshima, Japan
TEL : (+81) FAX : (+81)
Self-introduction
I am doing research in the following areas: machine learning, deep learning, AI, computer vision, natural language processing, brain-inspired computing, bio-medical imaging/analysis.

Basic Information

Academic Degrees

  • Doctor of Engineering, University of Tsukuba
  • Master of Engineering, Tokai University

Educational Activity

  • [Bachelor Degree Program] School of Informatics and Data Science : Department of Informatics and Data Science : Intelligence Science Program
  • [Master's Program] Graduate School of Innovation and Practice for Smart Society
  • [Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program
  • [Doctoral Program] Graduate School of Innovation and Practice for Smart Society
  • [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program

In Charge of Primary Major Programs

  • Electrical and Electronic Engineering
  • Information Engineering

Research Fields

  • Informatics;Frontiers of informatics;Life / Health / Medical informatics
  • Informatics;Human informatics;Intelligent informatics

Research Keywords

  • machine learning, artificial intelligence, pattern recognition, image processing, image analysis, computer vision, data analysis, medical imaging, natural language processing, vision and language, brain-inspired computing

Affiliated Academic Societies

Educational Activity

Course in Charge

  1. 2024, Liberal Arts Education Program1, 3Term, Intelligence and Computer
  2. 2024, Undergraduate Education, Second Semester, Research Tutorial I
  3. 2024, Undergraduate Education, 4Term, Big Data
  4. 2024, Undergraduate Education, 1Term, Frontier of Informatics and Data Science
  5. 2024, Undergraduate Education, Intensive, Research Project
  6. 2024, Undergraduate Education, 3Term, Informatics and Data Science Exercise III(Intelligence Science Program)
  7. 2024, Undergraduate Education, 1Term, Informatics Seminar I
  8. 2024, Undergraduate Education, 2Term, Informatics Seminar II
  9. 2024, Undergraduate Education, Intensive, Long-term Fieldwork I
  10. 2024, Undergraduate Education, Second Semester, Graduation Thesis
  11. 2024, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
  12. 2024, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
  13. 2024, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science A
  14. 2024, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science A
  15. 2024, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
  16. 2024, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
  17. 2024, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science
  18. 2024, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science
  19. 2024, Graduate Education (Master's Program) , Intensive, AIOps Lab A
  20. 2024, Graduate Education (Doctoral Program) , Academic Year, Special Study on Informatics and Data Science

Research Activities

Academic Papers

  1. ★, Fast detection of bag-breakups in pulsating and steady airflow using video analysis and deep learning, JOURNAL OF REAL-TIME IMAGE PROCESSING, 20(6), 20230912
  2. An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring, JOURNAL OF REAL-TIME IMAGE PROCESSING, 20(5), 20230816
  3. Spectral Super-Resolution for High Dynamic Range Images, JOURNAL OF IMAGING, 9(4), 202304
  4. ★, Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning, Proceedings of 3rd International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE 2021) in conjunction with MICCAI 2021, Springer LNCS, 12959, 34-43, 20211001
  5. Which visual questions are difficult to answer? Analysis with Entropy of Answer Distributions, Visual Question Answering and Dialog Workshop at CVPR 2020, 20200614
  6. Localization of Flying Bats from Multichannel Audio Signals by Estimating Location Map with Convolutional Neural Networks, JOURNAL OF ROBOTICS AND MECHATRONICS, 33(3), 515-525, 20210601
  7. A Hardware Implementation on Customizable Embedded DSP Core for Colorectal Tumor Classification with Endoscopic Video toward Real-Time Computer-Aided Diagnosais System, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E104A(4), 691-701, 20210401
  8. Rephrasing Visual Questions by Specifying the Entropy of the Answer Distribution, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E103D(11), 2362-2370, 202011
  9. An Entropy Clustering Approach for Assessing Visual Question Difficulty, IEEE ACCESS, 8, 180633-180645, 2020
  10. ★, Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images, Springer Lecture Notes in Computer Science (MLMI 2019), 11861, 283-291, 20191013
  11. Semantic segmentation of trajectories with agent models, Proc. of The International Workshop on Frontiers of Computer Vision (FCV2018), 20180221
  12. ★, Grassmann Matching Kernels for Scene Representation and Recognition, Proc. International Joint Conference on Neural Networks (IJCNN 2017), 4422-4428, 20170514
  13. Marker-based non-overlapping camera calibration methods with additional support camera views, IMAGE AND VISION COMPUTING, 70, 46-54, 201802
  14. Tree-Wise Discriminative Subtree Selection for Texture Image Labeling, IEEE ACCESS, 5, 13617-13634, 2017
  15. Primal-dual approach to optical tomography with discretized path integral with efficient formulations, JOURNAL OF MEDICAL IMAGING, 4(3), 201707
  16. Trajectory-Set Feature for Action Recognition, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D(8), 1922-1924, 201708
  17. Binocular tone reproduction display for an HDR panorama image, In Proceedings of the ACM Symposium on Applied Perception (SAP '16), 131-131, 20160722
  18. Marker Based Simple Non-Overlapping Camera Calibration, in Proc. IEEE International Conference on Image Processing (ICIP 2016), 1180-1184, 20160925
  19. Discriminative subtree selection for NBI endoscopic image labeling, The ACCV2016 workshop on mathematical and computational methods in biomedical imaging and image analysis (MCBMIIA2016), 20161124
  20. ★, Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution, Springer Lecture Notes in Computer Science LNCS, 9901, 667-675, 201610
  21. Higher-Level Representation of Local Spatio-Temporal Features for Human Action Recognition Using Subspace Matching Kernels, in Proc. 23rd International Conference on Pattern Recognition (ICPR), Mexico, 3851-3856, 20161210
  22. Ensemble-Based Local Learning for High-Dimensional Data Regression, Proc. 23rd International Conference on Pattern Recognition (ICPR), Mexico, 2641-2646, 20161210
  23. ★, Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features, Proc. MLMI2015 (6th International Workshop on Machine Learning in Medical Imaging) in conj. with MICCAI2015, 153-160, 20151005
  24. Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition, ARTIFICIAL INTELLIGENCE IN MEDICINE, 68, 1-16, 201603
  25. Optical tomography with discretized path integral, JOURNAL OF MEDICAL IMAGING, 2(3), 2015
  26. Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy, GASTROINTESTINAL ENDOSCOPY, 83(3), 643-649, 201603
  27. 3D Keypoints Detection from a 3D Point Cloud for Real-Time Camera Tracking, IEEJ Transactions on Electronics, Information and Systems, 133(1), 84-90, 2013
  28. Image Based Detection of 3D Scene Change, IEEJ Transactions on Electronics, Information and Systems, 133(1), 103-110, 2013
  29. Spectral Rendering of Interference Phenomena Caused by Multilayer Films Under Global Illumination Environment, ITE Transactions on Media Technology and Applications, 3(1), 76-84, 20141029
  30. SVM-MRF Segmentation of Colorectal NBI Endoscopic Images, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4739-4742, 20140826
  31. A Tone Reproduction Operator for All Luminance Ranges Considering Human Color Perception, EUROGRAPHICS 2014, 17-20, 20140407
  32. Displaying Compressed HDR Spectral Images Using A Direct Tristimulus Value Conversion and Dynamic Range Compression, The Fourth IIEEJ International Workshop on Image Electronics and Visual Computing, 20141007
  33. Generating Retinal Images in Eye Model with Intraocular Lens by Computer Simulation : Investigating Influence of Glare, Jpn.J.Vis.Sci, 35(2), 43-47, 201404
  34. Myocardial Segmentation with Model-Based Registration for Extracting Left Ventricle Region : The Combined Use of Edge and Voxel Information, The journal of the Institute of Image Electronics Engineers of Japan : visual computing, devices & communications, 43(3), 330-337, 201407
  35. Layered optical tomography of multiple scattering media with combined constraint optimization, Proc. of FCV 2015 : 21st Korea-Japan joint Workshop on Frontiers of Computer Vision, 1-6, 20150128
  36. Trade-off between speed and performance for colorectal endoscopic NBI image classification, SPIE Medical Imaging, 9413, 1-8, 20150320
  37. A Computer System To Be Used With Laser-based Endoscopy for Quantitative Diagnosis of Early Gastric Cancer, JOURNAL OF CLINICAL GASTROENTEROLOGY, 49(2), 108-115, 201502
  38. A Rendering Method of Subsurface Scattering Using Interpolated Luminance Distributions,, The Journal of the Institute of Image Electronics Engineers of Japan,, 42(4), 429-437, 2013
  39. A simple and effective hardware oriented feature extraction algorithm for colorectal endoscopic images with NBI magnification, The 28th International Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2013, 20130630
  40. ★, Action recognition by orthogonalized subspaces of local spatio-temporal features, 2013 IEEE International Conference on Image Processing (ICIP2013), 4387-4391, 201309
  41. An Efficient Method for Displaying HDR Spectral Images on RGB Monitors Taking into Account The Color Matching Functions, Computational Visual Media Conference 2013, 201309
  42. An fpga implementation of support vector machine identifier for colorectal endoscopic images with NBI magnification,, the 28th International Conference on CIrcuits/Systems, Computers and Communications (ITC-CSCC) 2013, 2013
  43. Customizable Hardware Architecture of Support Vector Machine in CAD System for Colorectal Endoscopic Images with NBI Magnification,, The 18th Workshop on Synthesis And System Integration of Mixed Information technologies (SASIMI 2013), 201310
  44. Development of a Client-Server System for 3D Scene Change Detection, The 5th International Conference on Computational Intelligence and Software Engineering (CiSE 2013), 20140714
  45. Development of a Client-Server System for 3D Scene Change Detection, Journal of Software Engineering and Applications, 6(7B), 201307
  46. ★, Generic Object Recognition with Local Features: from Bags to Subspaces, The 2013 International Joint Conference on Neural Networks (IJCNN2013), 1654-1659, 201308
  47. High Speed Approximation Feature Extraction in CAD System for Colorectal Endoscopic Images with NBI Magnification, The 18th Workshop on Synthesis And System Integration of Mixed Information technologies (SASIMI 2013), 201310
  48. ★, Image Sequence Recognition with Active Learning Using Uncertainty Sampling, The 2013 International Joint Conference on Neural Networks (IJCNN2013), 2531-2536, 201312
  49. Labeling Colorectal NBI Zoom-Videoendoscope Image Sequences with MRF and SVM, The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2013), 201307
  50. Multiple-scattering Optical Tomography with Layered Material,, The 9th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS 2013),, 201312
  51. ★, Object Pose Estimation by Locally Linearly Embedded Regression, Springer Lecture Notes in Computer Science LNCS 8228, Part III, 20th International Conference on Neural Information Processing (ICONIP 2013), 8228(3), 458-468, 201311
  52. Physically Based Spectral Rendering of Optical Phenomena Caused by Multilayer Films Under Global Illumination Environment, 2014 International Workshop on Advanced Image Tecnology (IWAIT 2014), 201401
  53. Quantitative analysis of NBI magnifying colonoscopy images based on Bag-of-Features for diagnosis of colorectal tumors, American Society for Gastrointestinal Endoscopy (ASGE) 2013,, 201312
  54. Scale invariant descriptor with border points of 3D point clouds,, The 20th Korea-Japan Workshop on Frontiers of Computer Vision (FCV2014), 201402
  55. Scale ratio ICP for 3D point clouds with different scales,, 2013 IEEE International Conference on Image Processing (ICIP2013), 2217-2221, 201309
  56. Semi-Rigid Registration of 3D points, International Conference on Signal and Image Processing (CSIP 2013), 201307
  57. Semi-Rigid Registration of 3D points, Journal of Signal and Information Processing, 4(3B), 25-29, 20130801
  58. Smoothing posterior probabilities with a particle filter of Dirichlet distribution for stabilizing colorectal NBI endoscopy recognition, 2013 IEEE International Conference on Image Processing (ICIP2013), 621-625, 201309
  59. Usefulness of magnifying endoscopy with Blue LASER Imaging for diagnosis of early gastric cancer., American Society for Gastrointestinal Endoscopy (ASGE) 2013, 77(5), 2013
  60. Quantitative analysis of colorectal lesions observed on magnified endoscopy images, JOURNAL OF GASTROENTEROLOGY, 46(12), 1382-1390, 201112
  61. Computer-aided system for predicting the histology of colorectal tumors by using narrow-band imaging magnifying colonoscopy, GASTROINTESTINAL ENDOSCOPY, 75(1), 179-185, 201201
  62. Computer-aided colorectal tumor classification in NBI endoscopy using local features, MEDICAL IMAGE ANALYSIS, 17(1), 78-100, 201301
  63. ★, Embedding class information into local invariant features by low-dimensional retinotopic mapping, MACHINE VISION AND APPLICATIONS, 24(2), 407-418, 201302
  64. Quantitative identification of mucosal gastric cancer under magnifying endoscopy with flexible spectral imaging color enhancement, JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 28(5), 841-847, 201312
  65. Perceptually inspired afterimage synthesis, COMPUTERS & GRAPHICS-UK, 37(4), 247-255, 201306
  66. Scale alignment of 3D point clouds with different scales, MACHINE VISION AND APPLICATIONS, 25(8), 1989-2002, 201411

Awards

  1. 2020/01/05, Best Paper Award of IWAIT 2020, IWAIT, A Method for Rendering Wavelength-dependent Phenomena Using Spectral Image-based Lighting
  2. 2018/02/23, 24th International Workshop on Frontiers of Computer Vision Best Poster Presentation Award, IW-FCV2018 General Chair Program Chair
  3. 2016/10/24, Outstanding Paper Award SASIMI2016, General Chair Technical Program Committee Chair
  4. 2014/10/10, IEVC2014 Excellent Paper Award, General Chair of IEVC2014

Social Activities

History as Committee Members

  1. International Joint Conference on Artificial Intelligence (IJCAI) 2023 PC Member, 2023/07/09, 2024/07/29
  2. CANDAR2023 PC member, 2023/05/29, 2023/11/24
  3. International Joint Conference on Artificial Intelligence (IJCAI) 2022 PC Member, 2021/07, 2022/07
  4. CANDAR2022 PC member, 2022/03, 2022/11
  5. ECAI 22 Special track on AI for Good PC Member, 2022/01, 2022/08, ECAI
  6. International Joint Conference on Artificial Intelligence (IJCAI) 2022 PC Member, 2021/11, 2022/08, International Joint Conference on Artificial Intelligence (IJCAI) 2022
  7. CANDAR 2021 Program Committee Member, 2021/05, 2021/11, CANDAR2021
  8. International Joint Conference on Artificial Intelligence (IJCAI) 2021 PC Member, 2020/08, 2021/08, IJCAI
  9. PC Member, 2020/02, International Joint Conference on Artificial Intelligence (IJCAI) 2020
  10. CANDAR2019 PC member, 2019/09, CANDAR2019
  11. Program Committee Member, 2018/09, CANDAR2018
  12. Program Committee Member, 2018/04/01, International Conference on Pattern Recognition ICPR 2018
  13. Information Processing Society of Japan Chugoku Branch, 2018/04, 2020/03, Information Processing Society of Japan
  14. Information Processing Society of Japan Chugoku Branch, 2017/04/01, 2018/04/01, Information Processing Society of Japan
  15. Program Committee Member International Conference on Pattern Recognition ICPR 2016, 2016/04/01, 2016/12/10, International Conference on Pattern Recognition ICPR 2016
  16. Information Processing Society of Japan Chugoku section, 2016/04/01, 2019/03/31

History as Peer Reviews of Academic Papers

  1. 2023, IJCAI2023, reviewer, 4
  2. 2022, IJCAI2022, Others, reviewer, 4
  3. 2022, ECAI2022 AI for Good, Others, reviewer, 5
  4. 2021, CANDAR2021, Others, reviewer, 3
  5. 2021, IJCAI2021, Others, Reviewer, 4
  6. 2020, ICPR2020, reviewer, 6
  7. 2020, MIRU2020, reviewer, 2
  8. 2020, CANDAR2020, reviewer, 1
  9. 2020, International Joint Conference on Artificial Intelligence (IJCAI) 2021, reviewer, 4
  10. 2019, CANDAR2019, Others, reviewer, 1
  11. 2019, International Joint Conference on Artificial Intelligence (IJCAI) 2020, Others, reviewer, 3
  12. 2016, IEEE Transactions on Biomedical Engineering, Others, reviewer, 1
  13. 2019, Japanese Neural Network Society JNNS2019, Others, reviewer, 1
  14. 2017, Nature Scientific Reports, Others, Reviewer, 1
  15. 2019, IEEE Transactions on Reliability, Others, Reviewer, 1
  16. 2019, IEEE Access, Others, Reviewer, 1
  17. 2013, IEEE International Conference on Pattern Recognition ICPR2014, Others, Program Committee, Reviewer, 3
  18. 2013, IEEE Trans. Neural Networks and Learning Systems, Others, Reviewer, 2
  19. 2013, IEEE International Joint Conference on Neural Networks, Others, Reviewer, 2
  20. 2013, CANDAR 2013, Others, Program Committee Member, Reviewer, 5