【採択・発表】本研究室から12本の論文をACM Mobisys2024 poster/demo sessionで発表しました

2024年6月3日(月)~7日(金)に，東京・虎ノ門ヒルズで開催されたThe 22nd ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2024) で，本研究室から12本の論文をposter/demo sessionで発表しました．

大越 匡 准教授はJeongGil Ko Associate Professor（韓国・延世大学校）とGeneral Co-Chair，陳 寅 特任准教授はVice General Chair，中澤 仁 教授はSponsorship Chairs，佐々木 航 特任助教はRegistration Chair，D2 黄君はStudent Volunteer Chairsを務めました．

併設開催されたA3 Foresight Workshopでは，特任助教 佐々木君が「Adaptive Information Presentation Methods Based on Estimated Internal States」というタイトルで口頭発表を行いました

大学院生を対象にした次世代研究者育成プログラムであるASSET (Asian Student Symposium on Emerging Technologies) には，D3 川島さん，D1 浜中君，M2 久米君の3名が参加しました．

Poster sessionに採択された論文題目は以下の通りです．

  • Class-Balanced Exemplar Memory Selection for Class-Incremental Semantic Segmentation
    • Hirono Kawashima (Keio University), Tadashi Okoshi (Keio University), Jin Nakazawa (Keio University)
  • Stochastic Scheduling on Object-sparse Video Data
    • Kazuhiro Mikami (Keio University), Wenhao Huang (Keio University), Yin Chen (Reitaku University), Jin Nakazawa (Keio University)
  • Adaptive Push Notification for Behavioral Change in Lifelogging Services
    • Satoki Hamanaka (Keio University), Kazunori Sakamoto (WillBooster Inc.), Yuki Sasaki (Wellmira Inc.), Shinicihiro Mizuno (Wellmira Inc.), Yasunori Kawasaki (Wellmira Inc.), Wataru Sasaki (Keio University), Jin Nakazawa (Keio University), Tadashi Okoshi (Keio University)
  • Customer satisfaction estimation using facial expression analysis
    • Ryotaro Kageshima (Keio university), Satoki Hamanaka (Keio University), Shuri Marui (Keio University), Akira Tsuge (Keio University), Jin Nakazawa (Keio University), Tadashi Okoshi (Keio University)
  • MLess: Deep Learning Application Platform for Smart Cities
    • Seiki Makino (Keio University), Tadashi Okoshi (Keio University), Jin Nakazawa (Keio University)
  • Heatstroke Risk Estimation by Environmental Sensing and Vital Data Analysis
    • Ayaka Kondo (Keio University), Takumi Karasawa (Keio University), Kaho Cho (Keio University), Shuri Marui (Keio University), Akira Tsuge (Keio University), Tadashi Okoshi (Keio University), Jin Nakazawa (Keio University)
  • Generating Scarce Realities for Traffic Light Violation Detection
    • Taiga Kume (Keio University), Hiroo Bekku (Keio University), Tadashi Okoshi (Keio University), Jin Nakazawa (Keio University)
  • Feature-adaptive Re-MAML optimised for the input data set
    • Kaho Sunata (Keio University), Taiga Kume (Keio University), Jin Nakazawa (Keio University), Tadashi Okoshi (Keio University)

Demo sessionに採択された論文題目は以下の通りです．

  • FaST Compiler: Optimizing Web Front-end UI Building by Integrating Compilers and Visible Anchors
    • Tatsuru Tomizawa, Taiga Kume, Satoki Hamanaka, Tadashi Okoshi, Jin Nakazawa (Keio University)
  • “MiRRoR”: Mixed-Reality of Robust Rendering
    • Daisuke Goto (Keio University), Soko Aoki (Kadinche Corporation), Akira Tsuge, Tadashi Okoshi, Jin Nakazawa (Keio University)
  • MeowSorter: Identifying Stray and Pet Cats Through Facial Features
    • Rina Motoyama, Naohiro Isokawa, Tadashi Okoshi, Jin Nakazawa (Keio University)
  • Image-based Indoor Localization using Object Detection and LSTM
    • Yuki Aoki, Naoki Kobayashi, Tadashi Okoshi, Jin Nakazawa (Keio University)