Kindai University
Multimedia Understanding Group

Publications

2022

Journal Papers

  1. Kazuma Fujioka and Kimiaki Shirahama: Generic Itemset Mining Based on Reinforcement Learning, IEEE Access, Vol. 10, pp. 5824-5841, 2022 (paper (open access), codes, arXiv)
  2. Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang and Marcin Grzegorzek: A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis, Environmental Science and Pollution Research, Vol. 29, pp. 51909–51926, 2022 (paper (open access))

 

Conference Papers

 

Preprints

 

Domestic Workshop Papers

  1. Naoki Takashima, Frédéric Li, Marcin Grzegorzek and Kimiaki Shirahama: Bidirectional Music Emotion Recognition Based on Embeddings, Proc. of the 2022 IEICE General Conference, H-2-3, 2022
  2. Zihao Chen, Hisashi Handa and Kimiaki Shirahama: Retrieval of Similar Questions from QAbot Data based on Transformer Language Model, Prof. of Educational Technology in July 2022 (2022-07-ET), ET2022-9, 2022

 

Misc.

 

 

2021

Journal Papers

  1.  Jinghua Zhang, Chen Li, Sergey Kosov, Marcin Grzegorzek, Kimiaki Shirahama, Tao Jiang, Changhao Sun, Zihan Li and Hong Li: LCU-Net: A Novel Low-cost U-Net for Environmental Microorganism Image Segmentation, Pattern Recognition, Vol. 115, 2021

 

Conference Papers

  1. Kimiaki Shirahama, Takumi Sato, Norihiro Yamawaki, Takashi Matsubara and KuniakiUehara: Kindai University and Osaka Gakuin University and Osaka University at TRECVID 2021 AVS Task, Proc. of TREC Video Retrieval Evaluation (TRECVID) 2021, 2021 (paper)

 

Preprints

  1. Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang and Marcin Grzegorzek: A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis,  arXiv preprint arXiv:2102.12147, 2021 (paper)
  2. Kazuma Fujioka and Kimiaki Shirahama: Generic Itemset Mining Based on Reinforcement Learning,  arXiv preprint arXiv:2105.07753, 2021 (paper, codes)
  3. Naoki Takashima, Frédéric Li, Marcin Grzegorzek and Kimiaki Shirahama: Cross-modal Music Emotion Recognition Using Composite Loss-based Embeddings, arXiv preprint arXiv:2112.07192, 2021 (paper, codes)

 

Domestic Workshop Papers

  1. Koki Nishimoto, Kaito Sasaki and Kimiaki Shirahama: Personalised Estimation of Blink Rates for Presentation Slides, Proc. of the 2021 IEICE General Conference, D-15-10, 2021
  2. Daiki Mukai, Teppei Nomiyama and Kimiaki SHirahama: Sensor-based Activity Recognition Using Multitask Learning,  Proc. of the 2021 IEICE General Conference, H-2-10, 2021
  3. Shunsuke Utsuki and Kimiaki Shirahama: Video Retrieval by Associating Phrases in a Query with Object Regions, Proc. of the 2021 IEICE General Conference, D-12-16, 2021
  4. Koki Nishimoto and Kimiaki Shirahama: Acquisition of Human’s Memory Mechanism for Video Frames, Proc. of the workshop on Artistic Image Technology (AIT), AIT2021-145, 2021

 

Misc.

  1. Kimiaki Shirahama: Building a Retrieval Engine based on Human Cognition System, ニュートン別冊 近畿大学 大解剖 vol.2, pp. 96-97, 2021 (link)

 

2020

Journal Papers

  1. Xinyu Huang, Kimiaki Shirahama, Frédéric Li and Marcin Grzegorzek: Sleep stage classification for child patients using DeConvolutional Neural Network, Journal of Artificial Intelligence in Medicine, Vol. 110, Article No. 101981, 2020 (paper (available for free until Jan. 5, 2021), codes and data)
  2. Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang and Marcin Grzegorzek: Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification, Sensors, Vol. 20, No. 15, Article No. 4271, 2020 (paper (open access), codes and data)
  3. Muhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, Xinyu Huang and Marcin Grzegorzek: Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition, Sensors, Vol. 20, No. 12, Article No. 3463, 2020 (paper (open access), codes and data)

 

Conference Papers

  1. Naoki Takashima, Frédéric Li, Marcin Grzegorzek and Kimiaki Shirahama: Cross-modal Music-emotion Retrieval Using DeepCCA, Proc. of the Eighth International Conference on Information Technology in Biomedicine (ITIB 2020), pp. 133-145, 2020 (slides)
  2. Taishin Mabuchi, Yoshiaki Taniguchi and Kimiaki Shirahama: Person Recognition using Wi-Fi Channel State Information in an Indoor Environment, Proc. of the 2020 IEEE International Conference on Consumer Electronics – Taiwan (IEEE ICCE-TW 2020), pp. 1-2, 2020
  3. Daiki Mukai, Ryosuke Utsunomiya, Shunsuke Utsuki, Kimiaki Shirahama, Takashi Matsubara and Kuniaki Uehara: Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks, Proc. of TREC Video Retrieval Evaluation (TRECVID) 2020, 2020 (paper, poster)

 

2019

Journal Papers

  1. Ahmad Delforouzi, Seyed Amir Hossein Tabatabaei, Kimiaki Shirahama and Marcin Grzegorzek: A Polar Model for Fast Object Tracking in 360-degree Camera Images, Multimedia Tools and Applications, Vol. 78, No. 7, pp. 9275–9297, 2019
  2. Sergey Kosov, Kimiaki Shirahama and Marcin Grzegorzek: Labeling of Partially Occluded Regions via the Multi-Layer CRF, Multimedia Tools and Applications, Vol. 78, No. 2, pp. 2551–2569, 2019

 

Conference Papers

  1. Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara and Kuniaki Uehara: Kindai University and Kobe University at TRECVID 2019 AVS Task, Proc. of TREC Video Retrieval Evaluation (TRECVID) 2019, 2019 (paper, poster)

 

2018

Journal Articles

  1. Zeyd Boukhers, Kimiaki Shirahama and Marcin Grzegorzek: Less Restrictive Camera Odometry Estimation from Monocular Camera, Multimedia Tools and Applications, Vol. 77, No. 13, pp. 16199–16222, 2018
  2. Zeyd Boukhers, Kimiaki Shirahama and Marcin Grzegorzek: Example-based 3D Trajectory Extraction of Objects from 2D Videos, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 28, No. 9, pp. 2246–2260, 2018 (Project page)
  3. Lukas Köping, Kimiaki Shirahama and Marcin Grzegorzek: A General Framework for Sensor-based Human Activity Recognition, Computers in Biology and Medicine, Vol. 95, No. 1, pp. 248-260, 2018 (Demo video (old), Demo video (new), CBM Honors Paper 2018)
  4. Przemysław Łagodziński, Kimiaki Shirahama and Marcin Grzegorzek: Codebook-based Electrooculography Data Analysis towards Cognitive Activity Recognition, Computers in Biology and Medicine, Vol. 95, No. 1, pp. 277-287, 2018
  5. Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Marcin Grzegorzek: Comparison of Feature Learning Methods for Human Activity Recognition using Wearable Sensors, Sensors, Vol. 18, No. 2, Article No. 679, 2018 (Paper (Open access), Project page with codes and datasets)
  6. Sergey Kosov, Kimiaki Shirahama, Chen Li and Marcin Grzegorzek: Environmental Microorganism Classification Using Conditional Random Fields and Deep Convolutional Neural Networks, Pattern Recognition, Vol. 77, pp. 248-261, 2018 (codes, data)

 

Conference Papers

  1. Kimiaki Shirahama, He Zhenying and Kuniaki Uehara: Kobe University and Kindai University at TRECVID 2018 AVS Task, In Proc. of TREC Video Retrieval Evaluation (TRECVID) 2018 Workshop, 2018 (PDF, Poster) Third place in terms of research teams participating in Ad-hoc Video Search (AVS) task (manually-assisted)

 

Further past publications can be found here

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