近畿大学 理工学部 情報学科
マルチメディア理解研究室

研究業績

2022

学術論文

  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))

 

国際会議

 

プレプリント

 

国内研究会

  1. 高島直生,Frédéric Li,Marcin Grzegorzek,白浜公章:埋め込みに基づく双方向音楽感情認識,2022年電子情報通信学会総合大会,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

 

その他

 

2021

学術論文

  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

 

国際会議

  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)

 

プレプリント

  1. Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, 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)

 

国内研究会

  1. 西本光希,佐々木海斗,白浜公章: 個人差を考慮したスライドに対する瞬き率推定,2021年電子情報通信学会総合大会,D-15-10,2021
  2. 向井大貴,野見山哲平,白浜公章:マルチタスク学習を用いたセンサデータからの行動認識,2021年電子情報通信学会総合大会,H-2-10,2021
  3. 宇津木駿介,白浜公章:クエリの句構造と物体領域の対応づけによる映像検索,2021年電子情報通信学会総合大会,D-12-16,2021
  4. 西本光希,白浜公章: 強化学習を用いた映像フレームに対する記憶メカニズムの獲得,映像表現&コンピュータグラフィックス研究会(AIT),AIT2021-145,2021

 

その他

  1. 白浜公章:人間の認知システムをもとにした検索エンジンをつくりだせ,ニュートン別冊 近畿大学 大解剖 vol. 2,pp. 96-97, 2021 (リンク

 

2020年

学術論文

  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)

 

国際会議

  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)

 

国内研究会

  1. 馬渕大泰,谷口義明,白浜公章:Wi-Fiチャネル状態情報を用いた人物推定の検討,情報処理学会第82回全国大会,4X-02,2020

 

2019年

学術論文

  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

 

国際会議

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

 

2018年

学術論文

  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)

 

国際会議

  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)

 

上記以前の研究業績はこちら

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