To Appear
- Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro IDE, “Action Selection Learning for Multi-label Multi-view Action Recognition”, MMAsia, pp., 2024 (DOI)
- Yuka Teramoto, Takahiro Komamizu, Mitsunori Matsushita, Kenji Hatano, “Feature Extraction for Claim Check-Worthiness Prediction Tasks Using LLM”, iiWAS, pp., 2024 (DOI)
- Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Ichiro IDE, “Investigating conceptual blending of a diffusion model for improving nonword-to-image generation”, the 32nd ACM Multimedia Conference, pp., 2024 (DOI)
International Journals
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- Takahiro Komamizu, “Combining Multi-ratio Undersampling and Metric Learning for Imbalanced Classification”, J. Data Intell., Vol.2, No.4, pp.462-474, 2021 (DOI)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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
- 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
- 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)
- 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)
- 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)
- Carlos Victorino Padeiro, Tse-Wei Chen, Takahiro Komamizu, Ichiro Ide, “Lightweight Maize Disease Detection through Post-Training Quantization with Similarity Preservation”, EVW@CVPR, pp.2111-2120, 2024 (DOI)
2023
- Takahiro Komamizu, “Towards Ensemble-Based Imbalanced Text Classification Using Metric Learning”, DEXA, pp.188-202, 2023 (DOI, slide) — Best Paper Award
- 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)
- Takahiro Komamizu, “Visual Passage Score Aggregation for Image Retrieval”, MIPR, pp.37-42, 2023 (DOI, slide)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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
- 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)
- 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
- Da Huo, Marc A. Kastner, Takahiro Komamizu, Ichiro Ide, “Action Semantic Alignment for Image Captioning”, MIPR, pp.194-197, 2022 (DOI)
- 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)
- Yusuke Kimura, Takahiro Komamizu, Kenji Hatano, “Multi-task Learning-based Text Classification with Subword-Phrase Extraction”, SoICT, pp.23-30, 2022 (DOI)
2021
- 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)
- Takahiro Komamizu, “MMEnsemble: Imbalanced Classification Framework Using Metric Learning and Multi-sampling Ratio Ensemble”, DEXA, pp.176-188, 2021 (DOI, slide)
- Takahiro Komamizu, Shoi Ito, Yasuhiro Ogawa, Katsuhiko Toyama, “FPX-G: First Person Exploration for Graph”, MIPR, pp.70-76, 2021 (DOI, slide)
2020
- Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama, “Differential Translation for Japanese Partially Amended Statutory Sentences”, JSAI-isAI Workshops, pp.162-178, 2020 (DOI)
- 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)
- Takahiro Komamizu, “SPARQL with XQuery-based Filtering”, ISWC, pp.69-74, 2020 (DOI, slide)
- 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
- 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)
- 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)
- 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)
- Takahiro Komamizu, Yushi Uchida, Yasuhiro Ogawa, Katsuhiko Toyama, “Analyzing Japanese Law History through Modeling Multi-versioned Entity”, BlockSW/CKG@ISWC, 2019 (DOI, slide)
- 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
- Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama, “Japanese Legal Term Correction Using Random Forests”, JURIX, pp.161-170, 2018 (DOI) — Best Paper Award
- Takahiro Komamizu, “Graph Analytical Re-Ranking for Entity Search”, CIKM Workshops, 2018 (DOI, slide)
- Takahiro Komamizu, “Learning Interpretable Entity Representation in Linked Data”, DEXA, pp.153-168, 2018 (DOI, slide)
- 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)
- Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Network-Word Embedding for Dynamic Text Attributed Networks”, ICSC, pp.334-339, 2018 (DOI)
2017
- 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)
- 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)
- 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)
- Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “CROISSANT: centralized relational interface for web-scale SPARQL endpoints”, iiWAS, pp.284-288, 2017 (DOI, slide)
- 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)
- 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
- 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)
- Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Interleaving Clustering of Classes and Properties for Disambiguating Linked Data”, ICADL, pp.251-256, 2016 (DOI, slide, poster)
- 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
- 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
- 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)
- Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Extracting Facets from Textual Contents for Faceted Search over XML Data”, iiWAS, pp.420-429, 2014 (DOI, slide)
- Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “Frequent-Pattern Based Facet Extraction from Graph Data”, NBiS, pp.318-323, 2014 (DOI, slide)
2012
- 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
- Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa, “A framework of faceted navigation for XML data”, iiWAS, pp.28-35, 2011 (DOI, slide)
- 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
- 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)
- 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)
- 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)
- 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)
- 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)
- Takahiro Komamizu, “SPARQL with XQuery-based Filtering”, CoRR, Vol.abs/2009.06194, 2020 (DOI)