国際論文誌 -査読付

  1. Eita Nakamura, Kazuyoshi Yoshii, and Simon Dixon, “Note Value Recognition for Rhythm Transcription Using a Markov Random Field Model for Musical Scores and Performances of Piano Music”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25, No. 9, pp. 1846-1858, 2017.
  2. Eita Nakamura, Kazuyoshi Yoshii, and Shigeki Sagayama, “Rhythm Transcription of Polyphonic Music Based on Merged-Output HMM for Multiple Voices”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25, No. 4, pp. 794-806, 2017.
  3. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, and Kazuyoshi Yoshii, “Generative Statistical Models with Self-Emergent Grammar of Chord Sequences”, Journal of New Music Research, pp. 1-23, 2018.
  4. Shugo Yamaguchi, Shunsuke Saito, Koki Nagano, Yajie Zhao, Weikai Chen, Shigeo Morishima, Hao Li, “High-Fidelity Facial Reflectance and Geometry Inference from an Unconstrained Image”, ACM Transactions on Graphics, Vol. 37, Issue 4, No. 162, 2018.
  5. Kosetsu Tsukuda, Keisuke Ishida, Masahiro Hamasaki, and Masataka Goto, “Songrium Derivation Factor Analysis: A Web Service for Browsing Derivation Factors by Modeling N-th Order Derivative Creation”, IEICE Transactions on Information and Systems, Vol.E101-D, No.4, pp.1096-1106, 2018.
  6. Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, and Masataka Goto, “Modeling Storylines in Lyrics”, IEICE Transactions on Information and Systems, Vol.E101-D, No.4, pp.1167-1179, 2018.
  7. Yuki Koyama and Masataka Goto, “Decomposing Images into Layers with Advanced Color Blending”, Computer Graphics Forum, Vol.37, No.7, pp.397-407, 2018.
  8. Masataka Goto and Roger B. Dannenberg, “Music Interfaces Based on Automatic Music Signal Analysis: New Ways to Create and Listen to Music”, IEEE Signal Processing Magazine (Special Issue on Music Signal Processing), Vol.36, No.1, pp.74-81, 2019.
  9. Eita Nakamura, Kazuyoshi Yoshii, “Statistical Piano Reduction Controlling Performance Difficulty”, APSIPA Transactions on Signal and Information Processing, Vol. 7, No. e13, pp. 1–12, 2018.
  10. Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Chord-Aware Automatic Music Transcription Based on Hierarchical Bayesian Integration of Acoustic and Language Models,” APSIPA Transactions on Signal and Information Processing, Vol. 7, No. e14, pp. 1–14, 2018.
  11. Yugo Sato, Tsukasa Fukusato, Shigeo Morishima, “Interactive Face Retrieval Framework for Clarifying User’s Visual Memory”, ITE Transactions on Media Technology and Applications, Vol.1, Issue.2, pp.68-79, 2019.
  12. Yuki Koyama and Masataka Goto, “Precomputed Optimal One-Hop Motion Transition for Responsive Character Animation”, The Visual Computer (International Journal of Computer Graphics), Vol. 35, No.6-8, pp.1131-1142, June 2019. (Proceedings of CGI 2019)
  13. Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima, “Real-Time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights”, Computer Graphics Forum, Vol.38, Issue 7, pp.449-460, 2019.
  14. Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii, “Statistical Learning and Estimation of Piano Fingering”, Information Sciences, Vol. 517, pp.68-85, 2020.
  15. Tomoya Yamaguchi, Tatsuya Yatagawa, Yusuke Tokuyoshi, Shigeo Morishima, “Real-time Rendering of Layered Materials with Anisotropic Normal Distributions”, Computational Visual Media, 6, pp.29-36, 2020.
  16. Tatsuya Yatagawa, Hideki Todo, Yasushi Yamaguchi, Shigeo Morishima, “Data compression for measured heterogeneous subsurface scattering via scattering profile blending”, The Visual Computer (International Journal of Computer Graphics), 36, 3, pp.541-558, 2020.

国際論文誌 -Proceedings

  1. Shoichi Furukawa, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima, “Voice Animator: Automatic Lip-Synching in Limited Animation by Audio”, Proceedings of the 14th International Conference on Advances in Computer Entertainment Technology (ACE 2017), pp.153-171, 2017.
  2. Naoya Iwamoto, Takuya Kato, Hubert P. H. Shum, Ryo Kakitsuka, Kenta Hara, Shigeo Morishima, “DanceDJ: A 3D Dance Animation Authoring System for Live Performance”, Proceedings of 14th International Conference on Advances in Computer Entertainment Technology (ACE 2017), pp.653-670, 2017.
  3. Shuhei Tsuchida, Satoru Fukayama, and Masataka Goto, “An Automatic System for Editing Dance Videos Recorded by Multiple Cameras”, Proceedings of the 14th International Conference on Advances in Computer Entertainment Technology (ACE 2017), pp.1-18, 2017.
  4. Ryo Kakitsuka, Kosetsu Tsukuda, Satoru Fukayama, Naoya Iwamoto, Masataka Goto, Shigeo Morishima, “Authoring System for Choreography Using Dance Motion Retrieval and Synthesis”, Proceedings of the 30th International Conference on Computer Animation and Social Agents (CASA 2017), 2017.
  5. Ayano Kaneda, Tsukasa Fukusato, Yoshihiro Fukuhara, Takayuki Nakatsuka, Shigeo Morishima, “Fiber-dependent Approach for Fast Dynamic Character Animation”, Proceedings of the 30th International Conference on Computer Animation and Social Agents (CASA 2017), 2017.
  6. Shintaro Yamamoto, Pavel Savkin, Takuya Kato, Shoichi Furukawa, Shigeo Morishima, “Facial Video Age Progression Considering Expression Change”, Proceedings of Computer Graphics International (CGI 2017), 2017.
  7. Takahiro Itazuri, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima, “Court-based Volleyball Video Summarization Focusing on Rally Scene”, Proceedings of Computer Vision and Pattern Recognition (CVPR 2017) Workshop, 2017.
  8. Takayuki Nakatsuka, Shigeo Morishima, “Simulating the friction sounds using a friction-based adhesion theory model”, Proceedings of the 20th International Conference on Digital Audio Effects (DAFX 2017), pp. 32-39, 2017.
  9. Jun Kato and Masataka Goto, “f3.js: A Parametric Design Tool for Physical Computing Devices for Both Interaction Designers and End-users”, Proceedings of the 2017 Conference on Designing Interactive Systems (DIS 2017), pp.1099-1110, 2017.
  10. Masa Ogata and Masataka Goto, “Keyboard Interface with Shape-Distortion Expression for Interactive Performance”, Proceedings of the 43rd International Computer Music Conference (ICMC 2017), pp.378-383, 2017.
  11. Jordan B. L. Smith, Masahiro Hamasaki, and Masataka Goto, “Classifying Derivative Works With Search, Text, Audio and Video Features”, Proceedings of the 2017 IEEE International Conference on Multimedia and Expo (IEEE ICME 2017), pp.1422-1427, 2017.
  12. Shunya Ariga, Masataka Goto, and Koji Yatani, “Strummer: An Interactive Guitar Chord Practice System”, Proceedings of the 2017 IEEE International Conference on Multimedia and Expo (IEEE ICME 2017), pp.1057-1062, 2017.
  13. Kosetsu Tsukuda, Keisuke Ishida, and Masataka Goto, “Lyric Jumper: A Lyrics-Based Music Exploratory Web Service by Modeling Lyrics Generative Process”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp.544-551, 2017.
  14. Jordan B. L. Smith and Masataka Goto, “Multi-Part Pattern Analysis: Combining Structure Analysis and Source Separation to Discover Intra-Part Repeated Sequences”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp.716-723, 2017.
  15. Shunya Ariga, Satoru Fukayama, and Masataka Goto, “Song2Guitar: A Difficulty-Aware Arrangement System for Generating Guitar Solo Covers from Polyphonic Audio of Popular Music”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp.568-574, 2017.
  16. Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp. 376-382, 2017.
  17. Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose, “Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp. 347-353, 2017.
  18. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Function- and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp. 502-508, 2017.
  19. Antoine Liutkus, Kazuyoshi Yoshii, “A Diagonal Plus Low-Rank Covariance Model For Computationally Efficient Source Separation”, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), pp. 1-6, 2017.
  20. Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama, Masataka Goto, “Infinite Probabilistic Latent Component Analysis For Audio Source Separation”, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), pp. 1-6, 2017.
  21. Masahiro Hamasaki, Masataka Goto, “QueryShare: Working Together to Facilitate Exploratory Multimedia Searches without Skill in Creating”, Proceedings of the 13th International Symposium on Open Collaboration (OpenSym 2017), pp.12:1-12:9, 2017.
  22. Kosetsu Tsukuda and Masataka Goto, “Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation”, Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), pp.721-733, 2017.
  23. Jun Kato and Masataka Goto, “User-Generated Variables: Streamlined Interaction Design for Feature Requests and Implementations”, Companion to the first International Conference on the Art, Science and Engineering of Programming (Programming 2017), Article No. 28, 2017.
  24. Pavel A. Savkin, Shunsuke Saito, Jarich Vansteenberge, Tsukasa Fukusato, Lochlainn wilson, Shigeo Morishima, “Outside-in monocular IR camera based HMD pose estimation via geometric optimization”, Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology (VRST 2017), 2017.
  25. Hirofumi Takamori, Haruki Sato, Takayuki Nakatsuka, Shigeo Morishima, “Automatic Arranging Musical Score for Piano using Important Elements”, Proceedings of the 14th Sound and Music Computing Conference (SMC 2017), pp.35-41, 2017.
  26. Yuta Ojima, Tomoyasu Nakano, Satoru Fukayama, Jun Kato, Masataka Goto, Katsutoshi Itoyama, and Kazuyoshi Yoshii, “A Singing Instrument for Real-time Vocal-part Arrangement of Music Audio Signals”, Proceedings of the 14th Sound and Music Computing Conference (SMC 2017), pp.443-449, 2017.
  27. Yusuke Wada, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “An Adaptive Karaoke System that Plays Accompaniment Parts of Music Audio Signals Synchronously with Users’ Singing Voices”, Proceedings of the 14th Sound and Music Computing Conference (SMC 2017), pp. 110-116, 2017.
  28. Hiromu Yakura, Tomoyasu Nakano, and Masataka Goto, “FocusMusicRecommender: A System for Recommending Music to Listen to While Working”, Proceedings of the 23rd International Conference on Intelligent User Interfaces (ACM IUI 2018), 2018.
  29. Shiori Hironaka, Kosetsu Tsukuda, Masahiro Hamasaki, and Masataka Goto, “Collaboration in N-th Order Derivative Creation”, Proceedings of the Twelfth International AAAI Conference on Web and Social Media (AAAI ICWSM 2018), pp.608-611, 2018.
  30. Yuki Koyama and Masataka Goto, “OptiMo: Optimization-Guided Motion Editing for Keyframe Character Animation”, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (ACM CHI 2018), pp.161:1-161:12, 2018.
  31. Tian Cheng, Satoru Fukayama, and Masataka Goto, “Convolving Gaussian Kernels for RNN-based Beat Tracking”, Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018), pp.1919-1923, 2018.
  32. Kazuyoshi Yoshii, Koichi Kitamura, Yoshiaki Bando, Eita Nakamura, Tatsuya Kawahara, “Independent Low-Rank Tensor Analysis for Audio Source Separation”, 26th European Signal Processing Conference (EUSIPCO 2018), pp.1671-1675, 2018.
  33. Hiromi Nakamura, Tomoyasu Nakano, Satoru Fukayama, and Masataka Goto, “ChordScanner: Browsing Chord Progressions Based on Musical Typicality and Intra-Composer Consistency”, Proceedings of the 44th International Computer Music Conference (ICMC 2018), pp.250-255, 2018.
  34. Yugo Sato, Tsukasa Fukusato, Shigeo Morishima, “Face Retrieval Framework Relying on User’s Visual Memory”, Proceedings of ACM International Conference on Multimedia Retrieval (ICMR2018), pp.274-282, 2018.
  35. Tian Cheng, Jordan B. L. Smith, and Masataka Goto, “Music Structure Boundary Detection and Labelling by a Deconvolution of Path-Enhanced Self-Similarity Matrix”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.106-110, 2018.
  36. Jordan B. L. Smith and Masataka Goto, “Nonnegative Tensor Factorization for Source Separation of Loops in Audio”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.171-175, 2018.
  37. Anna M. Kruspe and Masataka Goto, “Retrieval of Song Lyrics from Sung Queries”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.111-115, 2018.
  38. Zhengshan Shi, Tomoyasu Nakano, and Masataka Goto, “InstListener: An Expressive Parameter Estimation System Imitating Human Performances of Monophonic Musical Instruments”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.581-585, 2018.
  39. Eita Nakamura, Emmanouil Benetos, Kazuyoshi Yoshii, Simon Dixon, “Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization”, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.101-105, 2018.
  40. Kazuyoshi Yoshii, “Correlated Tensor Factorization for Audio Source Separation”, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.731-735, 2018.
  41. Jun Kato and Masataka Goto, “DeployGround: A Framework for Streamlined Programming from API Playgrounds to Application Deployment”, Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (IEEE VL/HCC 2018), pp.259-263, 2018.
  42. Tian Cheng, Satoru Fukayama, and Masataka Goto, “Comparing RNN Parameters for Melodic Similarity”, Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp.763-770, 2018.
  43. Takumi Takahashi, Satoru Fukayama, and Masataka Goto, “Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation”, Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp.561-568, 2018.
  44. Kosetsu Tsukuda, Satoru Fukayama, and Masataka Goto, ” Listener Anonymizer: Camouflaging Play Logs to Preserve User’s Demographic Anonymity”, Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp.687-694, 2018.
  45. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model”, International Society for Music Information Retrieval Conference (ISMIR 2018), pp.145-151, 2018.
  46. Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, abd Tomoyasu Nakano, “A Melody-Conditioned Lyrics Language Model”, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), pp.163-172, 2018.
  47. Tomoya Yamaguchi, Tatsuya Yatagawa, Shigeo Morishima, “Efficient Metropolis Path Sampling for Material Editing and Re-rendering”, Proceedings of Pacific Graphics 2018, 2018.
  48. Hiromi Nakamura, Tomoyasu Nakano, Satoru Fukayama, and Masataka Goto, “CTcomposer: A Music Composition Interface Considering Intra-Composer Consistency and Musical Typicality”, Proceedings of the 15th Sound and Music Computing Conference (SMC 2018), pp.500-507, 2018.
  49. Jun Kato, Masa Ogata, Takahiro Inoue, and Masataka Goto, “Songle Sync: A Large-Scale Web-based Platform for Controlling Various Devices in Synchronization with Music”, Proceedings of the 26th ACM International Conference on Multimedia (ACM Multimedia 2018), pp.1697-1705, October 2018.
  50. Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii,” Probabilistic Sequential Patterns for Singing Transcription,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1905–1912, 2018.
  51. Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 983–989, 2018.
  52. Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, “FSNet: An Identity-aware Generative Model for Image-based Face Swapping”, Proceedings of Asian Conference of Computer Vision 2018.
  53. Qi Feng, Hubert P. H. Shum, and Shigeo Morishima, “Resolving occlusion for 3D object manipulation with hands in mixed reality”, Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, Article No.119, 2018.
  54. Shuhei Tsuchida, Satoru Fukayama, and Masataka Goto, “Query-by-Dancing: A Dance Music Retrieval System Based on Body-Motion Similarity”, Proceedings of the 25th International Conference on MultiMedia Modeling (MMM 2019), pp.251-263, 2019.
  55. Hirofumi Takamori, Takayuki Nakatsuka, Satoru Fukayama, Masataka Goto, Shigeo Morishima,”Audio-Based Automatic Generation of a Piano Reduction Score by Considering the Musical Structure”, Proceedings of the 25th International Conference on MultiMedia Modeling (MMM 2019), pp.169-181, 2019.
  56. Ryo Shimamura, Seita Kayukawa, Takayuku Nakatsuka, Shoki Miyagawa, Shigeo Morishima, “A Study on the Sense of Burden and Body Ownership on Virtual Slope”, IEEE VR 2019, 2019.
  57. Kin Wah Edward Lin, Tomoyasu Nakano, and Masataka Goto, “VocalistMirror: A Singer Support Interface for Avoiding Undesirable Facial Expressions”, Proceedings of the 16th Sound and Music Computing Conference (SMC 2019), pp.505-510, May 2019.
  58. Shun Sawada, Satoru Fukayama, Masataka Goto, and Keiji Hirata, “Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.391-395, May 2019.
  59. Kin Wah Edward Lin and Masataka Goto: “Zero-mean Convolutional Network with Data Augmentation for Sound Level Invariant Singing Voice Separation”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.251-255, May 2019.
  60. Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii, “Automatic Singing Transcription Based on Encoder-Decoder Recurrent Neural Networks with a Weakly-Supervised Attention Mechanism”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.161-165, May 2019.
  61. Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp. 236-240, May 2019.
  62. Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, “Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior”,Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.456-460, 2019.
  63. Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, “Unsupervised Melody Style Conversion”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.196-200, 2019.
  64. Andrew McLeod, Eita Nakamura, Kazuyoshi Yoshii, “Improved Metrical Alignment of MIDI Performance Based on a Repetition-Aware Online-Adapted Grammar”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.186-190, 2019.
  65. Kosetsu Tsukuda, Satoru Fukayama, and Masataka Goto, “ABCPRec: Adaptively Bridging Consumer and Producer Roles for User-Generated Content Recommendation”, Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2019), pp.1197-1200, July 2019.
  66. Yiming Wu, Tristan Carsault, Kazuyoshi Yoshii, “Automatic Chord Estimation Based on a Frame-wise Convolutional Recurrent Neural Network with Non-Aligned Annotations”, European Signal Processing Conference (EUSIPCO 2019), pp.1-5, 2019.
  67. Kosetsu Tsukuda and Masataka Goto, “DualDiv: Diversifying Items and Explanation Styles in Explainable Hybrid Recommendation”, Proceedings of the 13th ACM Conference on Recommender Systems (ACM RecSys 2019), pp.398-402, September 2019.
  68. Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii, “Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Networks”, IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2019), pp.1-6, 2019.
  69. Tomoyasu Nakano, Kazuyoshi Yoshii, Yiming Wu, Ryo Nishikimi, Kin Wah Edward Lin, and Masataka Goto, “Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer”, Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE WASPAA 2019), pp.155-159, October 2019
  70. Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii, “End-to-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism”, Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE WASPAA 2019), pp.26-30, October 2019.
  71. Kento Watanabe and Masataka Goto, “Query-by-Blending: A Music Exploration System Blending Latent Vector Representations of Lyric Word, Song Audio, and Artist”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.144-151, November 2019.
  72. Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, and Masataka Goto, “AIST Dance Video Database: Multi-genre, Multi-dancer, and Multi-camera Database for Dance Information Processing”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.501-510, November 2019.
  73. Jordan B. L. Smith, Yuta Kawasaki, and Masataka Goto, “Unmixer: An Interface for Extracting and Remixing Loops”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.824-831, November 2019.
  74. Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, “Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model”,Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.268-275, 2019.
  75. Adrien Ycart, Andrew McLeod, Emmanouil Benetos, Kazuyoshi Yoshii, “Blending Acoustic and Language Model Predictions for Automatic Music Transcription”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.454-461, 2019.
  76. Peter Knees, Markus Schedl, and Masataka Goto, “Intelligent User Interfaces for Music Discovery: The Past 20 Years and What’s to Come”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.44-53, November 2019.
  77. Tomoya Yamaguchi, Tatsuya Yatagawa, Yusuke Tokuyoshi, Shigeo Morishima, “Real-time Rendering of Layered Materials with Anisotropic Normal Distributions”, SIGGRAPH ASIA 2019 Technical Briefs, pp.87-90, 2019.
  78. Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, Hao Li, “PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization”, The IEEE International Conference on Computer Vision 2019, pp.2304-2314, 2019.
  79. Naoya Iwamoto, Hubert P. H. Shum, Wakana Asahina, Shigeo Morishima, “Automatic Sign Dance Synthesis from Gesture-based Sign Language”, Motion, Interaction and Games 2019, Article No.18, pp.1-9, 2019.
  80. Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima, “SiCloPe: Silhouette-Based Clothed People”, CVPR 2019,
  81. Daichi Ishida, Ryoichi Ando, Shigeo Morishima, “GPU Smoke Simulation on Compressed DCT Space”, Eurographics 2019.
  82. Mitsuki Hosoya, Hiroaki Yamaura, Satoshi Nakamura, Makoto Nakamura, Eiji Takamatsu, Yujiro Kitaide, “Does the pop-out make an effect in the product selection of signage vending machine?”, 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2019), Vol.11747, pp.24-32, 2019.
  83. Mikako Sasaki, Junki Saito, Satoshi Nakamura, “Analysis of utilization in the message card production by use of fusion character of handwriting and typeface”, 17th IFIP TC.13 International Conference on Human-Computer Interaction, Vol.11749, pp.25-33, 2019.
  84. Saeka Furuichi, Kazuki Abe, Satoshi Nakamura, “The possibility of personality extraction using skeletal information in hip-hop dance by human or machine”, 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2019), Vol.11749, pp.511-519, 2019.
  85. Kosuke Nonaka, Junki Saito, Satoshi Nakamura, “Music Video Clip Impression Emphasis Method by Font Fusion Synchronized with Music”, International Conference on Entertainment Computing & Joint Conference on Serious Games (ICEC-JCSG 2019), Vol.LNCS 11863, pp.146-157, 2019.
  86. Hiroki Tokuhisa, Kenta Sato, Kouhei Matsuda, Keiji Matsui, Satoshi Nakamura, “Noise Canceling Music: Reducing Noise by a Mixing it with Suitable Music”, International Conference on Entertainment Computing & Joint Conference on Serious Games (ICEC-JCSG 2019), Vol.LNCS 11863, pp.278-284, 2019.
  87. Naoki Nozawa, Hubert P. H. Shum, Edmond S. L. Ho, Shigeo Morishima, “Single Sketch Image based 3D Car Shape Reconstruction with Deep Learning and Lazy Learning”, Proceedings of the 2020 International Conference on Computer Graphics Theory and Applications (GRAPP 2020), 2020.
  88. Takayuki Nakatsuka, Masatoshi Hamanaka, Shigeo Morishima, “Audio-guided Video Interpolation via Human Pose Features”, Proceedings of the 15th International Conference on Computer Vision Theory and Applications (VISAPP 2020), 2020.
  89. Tomoyasu Nakano, Yuki Koyama, Masahiro Hamasaki, and Masataka Goto, “Interactive Deep Singing-Voice Separation Based on Human-in-the-Loop Adaptation”, Proceedings of the 25th International Conference on Intelligent User Interfaces (ACM IUI 2020), pp.78-82, March 2020.

国内論文誌 -査読付

  1. 小澤禎裕, 谷田川達也, 久保尋之, 森島繁生, “光学的最短経路長を用いた表面下散乱の高速計算による 半透明物体のリアルタイム・レンダリング”, 画像電子学会誌, vol.46, No.4, 2017.
  2. 福地翼, 松井啓司, 中村聡史, “周辺視への錯視図形提示によるコンテンツ視聴手法の実現”, 情報処理学会論文誌, Vol. 59, No.2, pp.681-689, 2018.
  3. 白鳥裕士, 牧良樹, 中村聡史, 小松孝徳, “スポーツにおけるネタバレの特性調査と判定手法の検討”, 情報処理学会論文誌, Vol 59, No. 3, pp.882-893, 2018.
  4. 大野直紀, 土屋駿貴, 中村聡史, 山本岳洋, “独立した音楽と映像に対する印象評価と音楽動画の印象の関係性に関する研究”, 情報処理学会論文誌, Vol 59, No. 3,929-940, 2018.
  5. 松井啓司, 中村聡史, “周辺視への視覚刺激提示が時間評価に及ぼす影響”, 情報処理学会論文誌, Vol 59, No. 3, pp. 970-978, 2018.
  6. 佐藤剣太, 中村聡史, 鈴木正明: 印象増幅のための手書き文字へのエフェクト付与手法, 情報処理学会論文誌, Vol.59, No.9, pp.1761-1773, 2018.
  7. 加藤 卓哉, 深山 覚, 中野 倫靖, 後藤 真孝, 森島 繁生, “歌声と楽曲構造を入力とした歌唱時の表情アニメーション自動生成手法”, 画像電子学会誌, vol.48, No.2, pp.303-314, April 2019.

国内論文誌 -Proceedings

  1. 土田 修平, 深山 覚, 後藤 真孝, “多視点ダンス映像のインタラクティブ編集システム”, 日本ソフトウェア科学会 第25回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2017) 論文集, pp.1-6, 2017.
  2. 粥川青汰,樋口啓太,中村優文,米谷竜,佐藤洋一,森島繁生, “一人称視点映像の高速閲覧に有効なキューの自動生成手法”, 日本ソフトウェア科学会 第25回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2017) 論文集, 2017.
  3. 板摺貴大, 福里 司, 山口周悟, 森島繁生, “コート情報に基づくバレーボール映像の鑑賞支援”, Visual Computing / グラフィクスとCAD 合同シンポジウム 2017予稿集, 2017.
  4. 山本晋太郎, サフキンパーベル, 加藤卓哉, 佐藤優伍, 古川翔一, 森島繁生, “表情変化データベースを用いた経年変化顔動画合成”, Visual Computing / グラフィクスとCAD 合同シンポジウム 2017予稿集, 2017.
  5. 成田 史弥, 齋藤 隼介, 福里 司, 森島 繁生, “可展面制約を考慮したテンプレートベース衣服モデリング”, Visual Computing / グラフィクスとCAD 合同シンポジウム 2017予稿集, 2017.
  6. 佃 洸摂, 石田 啓介, 後藤 真孝, “Lyric Jumper:アーティストごとの歌詞トピックの傾向に基づき様々な歌詞に出会える歌詞探索サービス”, 情報処理学会 インタラクション2018 論文集, pp.96-105, 2018.
  7. 小山 裕己, 後藤 真孝, “OptiMo: 最適化計算を活用したキーフレームキャラクタモーション編集システム”, 第26回 Visual Computing (VC 2018) 予稿集, 2018.
  8. 谷田川 達也, 藤堂 英樹, 山口 泰, 森島 繁生, “基本材質の拡散プロファイル混合による実測BSSRDFデータの圧縮”, 第26回 Visual Computing (VC 2018) 予稿集, No.2, 2018.
  9. 夏目 亮太,谷田川 達也,森島 繁生, “変分オートエンコーダを用いた領域特徴抽出による顔領域入れ替えを含む画像編集法”, 第26回 Visual Computing (VC 2018) 予稿集, No.31, 2018.
  10. 土田 修平, 深山 覚, 後藤 真孝, “Query-by-Dancing: 身体動作の類似性に基づくダンス楽曲検索システム”, 日本ソフトウェア科学会 第26回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2018) 論文集, pp.1-6, 2018.
  11. 土田 修平, 深山 覚, 後藤 真孝, “DanceUnisoner: グループダンスパフォーマンス動画作成インタフェース”, 日本ソフトウェア科学会 第27回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2019) 論文集, pp.1-6, September 2019.
  12. 又吉 康綱, 小山 裕己, 深山 覚, 後藤 真孝, 中村 聡史, “画像の類似度を用いたダンス動画モーション訂正手法”, 日本ソフトウェア科学会 第27回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2019) 論文集, pp.7-12, September 2019.
  13. 加藤卓哉, 深山覚, 中野倫靖, 後藤真孝, 森島繁生, “歌唱時の表情アニメーション制作のための自動生成手法”, Visual Computing 2019, No.21, pp.1-7, June 2019.
  14. 土屋 志高, 板摺 貴大, 夏目 亮太, 山本 晋太郎, 加藤 卓哉, 森島 繁生, “画像と音を用いた動画生成の一般化”, Visual Computing 2019, No.22, 2019.
  15. 粥川 青汰,石原 辰也,高木 啓伸,森島 繁生,浅川 智恵子, “歩行者の動きの解析と衝突予測に基づく公共空間における視覚障害者向け歩行支援システム”, インタラクション2020

総説・書籍

  1. 吉井和佳, “音楽と統計的記号処理(特集「音楽情報処理・音楽信号処理の最前線」)”, 映像情報メディア学会誌, Vol. 71, No. 4, pp. 457-461, 2017.
  2. 吉井和佳, “音楽を通じた人と計算機のインタラクション(特集「人工知能とインタラクション」)”, 日本シミュレーション学会誌, Vol. 34, No. 4, pp. 211-217, 2017.