IMP Lab. Publication Database

Activity Recognition (By field)

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Journal Articles (2)Letters (1)Proceedings of International Conferences (3)Doctoral Theses (1)Bachelor's Theses (1)Others (3)

Journal Articles

  1. Contrastive Learning for Fine-Grained Reading Detection
    Information Engineering Express, vol. 11, no. 1, International Institute of Applied Informatics (March 2025)
    Md. Rabiul Islam, Andrew W. Vargo, Motoi Iwata, Masakazu Iwamura, Koichi Kise
    DOI: 10.52731/iee.v11.i1.816 Reviewed Activity Recognition, Deep Learning Abstract Detail
  2. Self-supervised Learning for Reading Activity Classification
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT journal), vol. 5, no. 3, 105, pp.1-22, ACM (September 2021)
    Md. Rabiul Islam, Shuji Sakamoto, Yoshihiro Yamada, Andrew W. Vargo, Motoi Iwata, Masakazu Iwamura, Koichi Kise
    DOI: 10.1145/3478088 Reviewed Activity Recognition Abstract Detail

Letters

  1. Exploring Sensor Modalities to Capture User Behaviors for Reading Detection
    IEICE Transactions on Information and Systems, vol. E105-D, no. 9, pp.1629-1633, 5 pages, IEICE (September 2022)
    Md. Rabiul Islam, Andrew W. Vargo, Motoi Iwata, Masakazu Iwamura, Koichi Kise
    DOI: 10.1587/transinf.2020ZDL0003 Reviewed Learning Analytics, Deep Learning, Activity Recognition Detail

Proceedings of International Conferences

  1. Supporting Smooth Interruption in a Video Conference by Dynamically Changing Background Music Depending on the Amount of Utterance
    Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.299-302, Atlanta, USA (September 2022)
    Haruki Suzawa, Ko Watanabe, Masakazu Iwamura, Koichi Kise, Andreas Dengel, Shoya Ishimaru
    DOI: 10.1145/3544793.3560384 Reviewed Activity Recognition Detail
  2. Evaluating Contrastive Learning for Fine-grained Reading Detection
    Proc. 12th International Congress on Advanced Applied Informatics (IIAI-AAI), pp.430-435, Kanazawa City (July 2022)
    Md. Rabiul Islam, Andrew W. Vargo, Motoi Iwata, Masakazu Iwamura, Koichi Kise
    DOI: 10.1109/IIAIAAI55812.2022.00091 Reviewed Activity Recognition, Deep Learning Detail
  3. Towards Quality Assessment of Crowdworker Output Based on Behavioral Data
    Proc. of The Third Human-in-the-loop Methods and Human-Machine Collaboration in BigData, IEEE Big Data, 3 pages (December 2019)
    Shigeaki Yuasa, Takumi Nakai, Takanori Maruichi, Manuel Landsmann, Koichi Kise, Masaki Matsubara, Atsuyuki Morishima
    Reviewed Oral Crowdsourcing, Activity Recognition, Sensing Abstract Detail

Doctoral Theses

  1. In-The-Wild Reading Activity Evaluation UsingSelf-Supervision (July 2022)
    Md. Rabiul Islam
    Not reviewed Activity Recognition Detail

Bachelor's Theses

  1. Comparison of unknown word estimation performance between Japanese and French people when reading English comics aloud (February 2025)
    25 pages
    Hayato Seki
    Not reviewed Sensing, Activity Recognition Detail

Others

  1. Reading of "Reading" for "Actuating": Augmenting Human Learning by "Experiential Supplements"
    Workshop on Words/Machines #4 (March 2022)
    Koichi Kise
    Not reviewed Activity Recognition, Learning Analytics Detail
    Keynote Talk
  2. Reading of "Reading" for "Actuating": Augmenting Human Learning by "Experiential Supplements
    The 3rd International Conference on Activity and Behavior Computing (October 2021)
    Koichi Kise
    Not reviewed Activity Recognition, Learning Analytics Detail
    Keynote talk
  3. Beyond Camera-Based Document Analysis and Recognition: Towards Camera-Based Human Document Interactions
    International Workshop on Camera-Based Document Analysis and Recognition (September 2021)
    Koichi Kise
    Not reviewed Activity Recognition, Document Image Analysis, Learning Analytics Detail
    Keynote talk