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To Appear

  1. Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Ichiro IDE, “Quantifying Image-Adjective Associations by Leveraging Large-Scale Pretrained Models”, MMM, pp., 2025 (DOI)
  2. Itthisak Phueaksri, Marc A. Kastner, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro IDE, “Towards Visual Storytelling by Understanding Narrative Context through Scene-Graphs”, MMM, pp., 2025 (DOI)
  3. Takahiro Komamizu, “ASC: Aggregating Sentence-level Classifications for Multi-label Long Text Classification”, SoICT, pp., 2024 (DOI)
  4. Yusuke Kimura, Takahiro Komamizu, Kenji Hatano, “L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models”, CustomNLP4U@EMNLP, pp., 2024 (DOI)
  5. Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro IDE, “Action Selection Learning for Multi-label Multi-view Action Recognition”, MMAsia, pp., 2024 (DOI)
  6. Yuka Teramoto, Takahiro Komamizu, Mitsunori Matsushita, Kenji Hatano, “Feature Extraction for Claim Check-Worthiness Prediction Tasks Using LLM”, iiWAS, pp., 2024 (DOI)

International Journals

  1. Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide, “Interpolating the Text-to-Image Correspondence Based on Phonetic and Phonological Similarities for Nonword-to-Image Generation”, IEEE Access, Vol.12, pp.41299-41316, 2024 (DOI)
  2. Trung Thanh Nguyen, Phi Le Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “Zero-Shot Pill-Prescription Matching With Graph Convolutional Network and Contrastive Learning”, IEEE Access, Vol.12, pp.55889-55904, 2024 (DOI, homepage)
  3. Itthisak Phueaksri, Marc A. Kastner, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “Image-Collection Summarization Using Scene-Graph Generation With External Knowledge”, IEEE Access, Vol.12, pp.17499-17512, 2024 (DOI)
  4. Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Ichiro Ide, Takatsugu Hirayama, Yasutomo Kawanishi, Keisuke Doman, Daisuke Deguchi, “Computational measurement of perceived pointiness from pronunciation”, Multim. Tools Appl., Vol.83, No.9, pp.26183-26210, 2024 (DOI)
  5. Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Ichiro Ide, Takatsugu Hirayama, Yasutomo Kawanishi, Keisuke Doman, Daisuke Deguchi, “Correction to: Computational measurement of perceived pointiness from pronunciation”, Multim. Tools Appl., Vol.83, No.9, pp.26211-26212, 2024 (DOI)
  6. Itthisak Phueaksri, Marc A. Kastner, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “An Approach to Generate a Caption for an Image Collection Using Scene Graph Generation”, IEEE Access, Vol.11, pp.128245-128260, 2023 (DOI)
  7. Yusuke Kimura, Takahiro Komamizu, Kenji Hatano, “An Automatic Labeling Method for Subword-Phrase Recognition in Effective Text Classification”, Informatica, Vol.47, No.3, 2023 (DOI)
  8. Takahiro Komamizu, “Combining Multi-ratio Undersampling and Metric Learning for Imbalanced Classification”, J. Data Intell., Vol.2, No.4, pp.462-474, 2021 (DOI)
  9. Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama, “An Ensemble Framework of Multi-ratio Undersampling-based Imbalanced Classification”, J. Data Intell., Vol.2, No.1, pp.30-46, 2021 (DOI)
  10. Takahiro Komamizu, “Random walk-based entity representation learning and re-ranking for entity search”, Knowl. Inf. Syst., Vol.62, No.8, pp.2989-3013, 2020 (DOI)
  11. Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs”, IEICE Trans. Inf. Syst., Vol.102-D, No.4, pp.810-820, 2019 (DOI)
  12. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “H-SPOOL: A SPARQL-based ETL framework for OLAP over linked data with dimension hierarchy extraction”, Int. J. Web Inf. Syst., Vol.12, No.3, pp.359-378, 2016 (DOI)
  13. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Facet-value extraction scheme from textual contents in XML data”, Int. J. Web Inf. Syst., Vol.11, No.3, pp.270-290, 2015 (DOI)
  14. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Faceted Navigation Framework for XML Data”, Int. J. Web Inf. Syst., Vol.8, No.4, pp.348-370, 2012 (DOI)

International Conferences

2024

  1. Carlos Victorino Padeiro, Tse-Wei Chen 0004, Takahiro Komamizu, Ichiro Ide, “Lightweight Maize Disease Detection through Post-Training Quantization with Similarity Preservation”, CVPR Workshops, pp.2111-2120, 2024 (DOI)
  2. Tatsuya Kato, Takahiro Komamizu, Ichiro Ide, “R-DiP: Re-ranking Based Diffusion Pre-computation for Image Retrieval”, DEXA, pp.233-247, 2024 (DOI, slide) — Best Paper Award
  3. Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-Scale and Action Label Features”, FG, pp.1-10, 2024 (DOI)
  4. Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Hanh-Nhi Tran, Rage Uday Kiran, Takahiro Komamizu, “ICDAR 24: Intelligent Cross-Data Analysis and Retrieval”, ICMR, pp.1332-1333, 2024 (DOI)
  5. Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Ichiro Ide, “Investigating Conceptual Blending of a Diffusion Model for Improving Nonword-to-Image Generation”, ACM Multimedia, pp.7307-7315, 2024 (DOI)
  6. Yui Miyakawa, Chihaya Matsuhira, Hirotaka Kato, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, “Do LLMs Agree with Humans on Emotional Associations to Nonsense Words?”, CMCL@ACL, pp.81-85, 2024 (DOI, poster)

2023

  1. Takahiro Komamizu, “Towards Ensemble-Based Imbalanced Text Classification Using Metric Learning”, DEXA, pp.188-202, 2023 (DOI, slide) — Best Paper Award
  2. Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Keisuke Doman, Ichiro Ide, “Nonword-to-Image Generation Considering Perceptual Association of Phonetically Similar Words”, MCGE@MM, pp.115-125, 2023 (DOI)
  3. Takahiro Komamizu, “Visual Passage Score Aggregation for Image Retrieval”, MIPR, pp.37-42, 2023 (DOI, slide)
  4. Mohan S. Kankanhalli, Ioannis (Yiannis) Patras, Jianquan Liu, Yongkang Wong, Takahiro Komamizu, Satoshi Yamazaki, Karen Stephen, Kajal Kansal, “NarSUM '23: The 2nd Workshop on User-Centric Narrative Summarization of Long Videos”, ACM Multimedia, pp.9731-9733, 2023 (DOI)
  5. Jialiang Shi, Takahiro Komamizu, Keisuke Doman, Haruya Kyutoku, Ichiro Ide, “RecipeMeta: Metapath-enhanced Recipe Recommendation on Heterogeneous Recipe Network”, MMAsia, pp.56:1-56:7, 2023 (DOI)
  6. Itthisak Phueaksri, Marc A. Kastner, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “Towards Captioning an Image Collection from a Combined Scene Graph Representation Approach”, MMM, pp.178-190, 2023 (DOI)
  7. Da Huo, Marc A. Kastner, Tingwei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, “Small Object Detection for Birds with Swin Transformer”, MVA, pp.1-5, 2023 (DOI)
  8. Banri Kojima, Takahiro Komamizu, Yasutomo Kawanishi, Keisuke Doman, Ichiro Ide, “Image Impression Estimation by Clustering People with Similar Tastes”, MVA, pp.1-5, 2023 (DOI, poster)
  9. Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, Tingwei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui, “MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results”, MVA, pp.1-11, 2023 (DOI)
  10. Carlos Victorino Padeiro, Takahiro Komamizu, Ichiro Ide, “Towards Achieving Lightweight Deep Neural Network for Precision Agriculture with Maize Disease Detection”, MVA, pp.1-6, 2023 (DOI)
  11. Akira Yoshida, Chihaya Matsuhira, Hirotaka Kato, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, “Discovering Phonesthemic Clusters in Readings of Kanji Characters toward Exploring Phonestheme in Japanese”, PACLIC, pp.322-337, 2023 (DOI)

2022

  1. Yasutomo Kawanishi, Ichiro Ide, Baidong Chu, Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Daisuke Deguchi, “Detection of Birds in a 3D Environment Referring to Audio-Visual Information”, AVSS, pp.1-7, 2022 (DOI)
  2. Kazuma Kusu, Takahiro Komamizu, Kenji Hatano, “Towards Efficient Data Access Through Multiple Relationship in Graph-Structured Digital Archives”, ICADL, pp.377-391, 2022 (DOI) — Best Paper Runner-up
  3. Da Huo, Marc A. Kastner, Takahiro Komamizu, Ichiro Ide, “Action Semantic Alignment for Image Captioning”, MIPR, pp.194-197, 2022 (DOI)
  4. Hirotaka Kato, Takatsugu Hirayama, Keisuke Doman, Ichiro Ide, Yasutomo Kawanishi, Takahiro Komamizu, Daisuke Deguchi, Hiroshi Murase, “Intuitive Gait Modeling using Mimetic-Words for Gait Description and Generation”, MIPR, pp.240-245, 2022 (DOI)
  5. Yusuke Kimura, Takahiro Komamizu, Kenji Hatano, “Multi-task Learning-based Text Classification with Subword-Phrase Extraction”, SoICT, pp.23-30, 2022 (DOI)

2021

  1. Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama, “Evaluation Scheme of Focal Translation for Japanese Partially Amended Statutes”, WAT@ACL/IJCNLP, pp.124-132, 2021 (DOI)
  2. Takahiro Komamizu, “MMEnsemble: Imbalanced Classification Framework Using Metric Learning and Multi-sampling Ratio Ensemble”, DEXA, pp.176-188, 2021 (DOI, slide)
  3. Takahiro Komamizu, Shoi Ito, Yasuhiro Ogawa, Katsuhiko Toyama, “FPX-G: First Person Exploration for Graph”, MIPR, pp.70-76, 2021 (DOI, slide)

2020

  1. Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama, “Differential Translation for Japanese Partially Amended Statutory Sentences”, JSAI-isAI Workshops, pp.162-178, 2020 (DOI)
  2. Takahiro Komamizu, Risa Uehara, Yasuhiro Ogawa, Katsuhiko Toyama, “MUEnsemble: Multi-ratio Undersampling-Based Ensemble Framework for Imbalanced Data”, DEXA, pp.213-228, 2020 (DOI, slide)
  3. Takahiro Komamizu, “SPARQL with XQuery-based Filtering”, ISWC, pp.69-74, 2020 (DOI, slide)
  4. Yasuhiro Ogawa, Yuta Ikari, Takahiro Komamizu, Katsuhiko Toyama, “NUKL at the NTCIR-15 QA Lab-PoliInfo-2 Task”, NTCIR-15, pp.145-152, 2020 (DOI)

2019

  1. Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama, “Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier”, IEEE BigData, pp.4342-4351, 2019 (DOI)
  2. Takahiro Komamizu, Kazuya Fujioka, Yasuhiro Ogawa, Katsuhiko Toyama, “Exploring Relevant Parts Between Legal Documents Using Substructure Matching”, JSAI-isAI Workshops, pp.5-19, 2019 (DOI, slide)
  3. Yasuhiro Ogawa, Michiaki Satou, Takahiro Komamizu, Katsuhiko Toyama, “nagoy Team's Summarization System at the NTCIR-14 QA Lab-PoliInfo”, NTCIR, pp.110-121, 2019 (DOI)
  4. Takahiro Komamizu, Yushi Uchida, Yasuhiro Ogawa, Katsuhiko Toyama, “Analyzing Japanese Law History through Modeling Multi-versioned Entity”, BlockSW/CKG@ISWC, 2019 (DOI, slide)
  5. Takahiro Yamakoshi, Vee Satayamas, Hutchatai Chanlekha, Yasuhiro Ogawa, Takahiro Komamizu, Asanee Kawtrakul, Katsuhiko Toyama, “Thai Legal Term Correction using Random Forests with Outside-the-sentence Features”, PACLIC 33, pp.306-314, 2019 (DOI)

2018

  1. Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama, “Japanese Legal Term Correction Using Random Forests”, JURIX, pp.161-170, 2018 (DOI) — Best Paper Award
  2. Takahiro Komamizu, “Graph Analytical Re-Ranking for Entity Search”, CIKM Workshops, 2018 (DOI, slide)
  3. Takahiro Komamizu, “Learning Interpretable Entity Representation in Linked Data”, DEXA, pp.153-168, 2018 (DOI, slide)
  4. Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs”, EDBT/ICDT Workshops, pp.2-9, 2018 (DOI)
  5. Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Network-Word Embedding for Dynamic Text Attributed Networks”, ICSC, pp.334-339, 2018 (DOI)

2017

  1. Takahiro Komamizu, Sayami Okumura, Toshiyuki Amagasa, Hiroyuki Kitagawa, “FORK: Feedback-Aware ObjectRank-Based Keyword Search over Linked Data”, AIRS, pp.58-70, 2017 (DOI, slide, poster)
  2. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Implicit order join: Joining log data with property data by discovering implicit order-oriented keys with human assistance”, IEEE BigData, pp.4400-4406, 2017 (DOI, slide)
  3. Takahiro Komamizu, Jin Nakazawa, Toshiyuki Amagasa, Hiroyuki Kitagawa, Hideyuki Tokuda, “Analytical toolbox for smart city applications: Garbage collection log use case”, IEEE BigData, pp.4105-4110, 2017 (DOI, slide)
  4. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “CROISSANT: centralized relational interface for web-scale SPARQL endpoints”, iiWAS, pp.284-288, 2017 (DOI, slide)
  5. Takahiro Komamizu, Toshiyuki Amagasa, Salman Ahmed Shaikh, Hiroaki Shiokawa, Hiroyuki Kitagawa, “SOLA: Stream OLAP-based Analytical Framework for Roadway Maintenance”, MEDES, pp.35-41, 2017 (DOI, slide)
  6. Takahiro Komamizu, Yasuhiro Hayase, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Exploring Identical Users on GitHub and Stack Overflow”, SEKE, pp.584-589, 2017 (DOI, slide, dataset)

2016

  1. Takahiro Komamizu, Toshiyuki Amagasa, Salman Ahmed Shaikh, Hiroaki Shiokawa, Hiroyuki Kitagawa, “Towards Real-Time Analysis of Smart City Data: A Case Study on City Facility Utilizations”, HPCC/SmartCity/DSS, pp.1357-1364, 2016 (DOI, slide)
  2. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Interleaving Clustering of Classes and Properties for Disambiguating Linked Data”, ICADL, pp.251-256, 2016 (DOI, slide, poster)
  3. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Visual Spatial-OLAP for Vehicle Recorder Data on Micro-sized Electric Vehicles”, IDEAS, pp.358-363, 2016 (DOI, slide)

2015

  1. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “SPOOL: a SPARQL-based ETL framework for OLAP over linked data”, iiWAS, pp.49:1-49:10, 2015 (DOI, slide) — Best Paper Award

2014

  1. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “A scheme of automated object and facet extraction for faceted search over XML data”, IDEAS, pp.338-341, 2014 (DOI, slide)
  2. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Extracting Facets from Textual Contents for Faceted Search over XML Data”, iiWAS, pp.420-429, 2014 (DOI, slide)
  3. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Frequent-Pattern Based Facet Extraction from Graph Data”, NBiS, pp.318-323, 2014 (DOI, slide)

2012

  1. Takahiro Komamizu, Mariko Kamie, Kazuhiro Fukui, Toshiyuki Amagasa, Hiroyuki Kitagawa, “A Scheme of Fragment-Based Faceted Image Search”, DEXA, pp.450-457, 2012 (DOI, slide)

2011

  1. Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “A framework of faceted navigation for XML data”, iiWAS, pp.28-35, 2011 (DOI, slide)
  2. Takahiro Komamizu, Yuto Yamaguchi, Toshiyuki Amagasa, Hiroyuki Kitagawa, “FACTUS: Faceted Twitter User Search Using Twitter Lists”, WISE, pp.343-344, 2011 (DOI, poster)

Pre-Print

  1. Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-scale and Action Label Features”, CoRR, Vol.abs/2404.19542, 2024 (DOI)
  2. Tingwei Liu, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “Tracking Small Birds by Detection Candidate Region Filtering and Detection History-aware Association”, CoRR, Vol.abs/2405.17323, 2024 (DOI)
  3. Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide, “Action Selection Learning for Multi-label Multi-view Action Recognition”, CoRR, Vol.abs/2410.03302, 2024 (DOI)
  4. Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide, “IPA-CLIP: Integrating Phonetic Priors into Vision and Language Pretraining”, CoRR, Vol.abs/2303.03144, 2023 (DOI)
  5. Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, Tingwei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui, “MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results”, CoRR, Vol.abs/2307.09143, 2023 (DOI)
  6. Jialiang Shi, Takahiro Komamizu, Keisuke Doman, Haruya Kyutoku, Ichiro Ide, “RecipeMeta: Metapath-enhanced Recipe Recommendation on Heterogeneous Recipe Network”, CoRR, Vol.abs/2310.15593, 2023 (DOI)
  7. Takahiro Komamizu, “SPARQL with XQuery-based Filtering”, CoRR, Vol.abs/2009.06194, 2020 (DOI)