Session Details
[D-12]Pattern Recognition and Media Understanding
Thu. Mar 12, 2026 1:45 PM - 5:00 PM JST
Thu. Mar 12, 2026 4:45 AM - 8:00 AM UTC
Thu. Mar 12, 2026 4:45 AM - 8:00 AM UTC
Building 1 5F N504(Kyushu Sangyo University)
Chair:Kudo Hiroaki(Nagoya University), Rei Kawakami
[D-12-37]Multi-Person Detection of Aerial Handwriting for Work Improvement in Wholesale Market Auctions
〇Kei Niida1, Jun Usuki1 (1. Kanagawa Institute of Technology)
[D-12-38]空書による移動ロボットの非接触操作に関する研究
〇Keigo Kinouchi1, Jun Usuki1 (1. Kanagawa Institute of Technology)
[D-12-39]Arbitrarily Rotated Character String Recognition via Connected-Component Combination Optimization Using Graph Neural Networks
◎Fumito Nakagawa1, Kento Morita1, Tetsushi Wakabayashi1 (1. Mie Univ.)
[D-12-40]手書き文字認識モデルエンコーダへの言語特徴付与による有効性
◎Kousei Kudou1, Masataka Seo1 (1. Osaka Institute of Technology)
[D-12-41]Simplification of Handwritten Character Structures Based on Barycentric Integration of Simplicial Complexes
〇Masato Suzuki1, Daisuke Kitakoshi1 (1. National Institute of Technology, Tokyo College)
[D-12-42]Improving Handwritten Character Extraction Accuracy in Answer Fields Using Projection Histograms
◎Shogo Takatera1, Ken-ichi Matsuo1 (1. National Institute of Technology)
Break time
[D-12-43]Latent Space Interpolation of Vector Fonts with a Transformer VAE Using Patch Embedding
◎△Takumu Fujioka1, Gouhei Tanaka1,2 (1. Nagoya Institute of Technology, 2. The University of Tokyo)
[D-12-44]Development of an OCR System for Classical Japanese Manuscripts Integrating DETR and CNN
〇Taichi Hayasaka1, Ayano Takeuchi2, Satoko Nakanishi2, Kazuaki Yamamoto2 (1. National Institute of Technology, Toyota College, 2. National Institute of Japanese Literature)
[D-12-45]アフィニティを用いた古典籍の文字位置推定
◎△Riku Fukumoto1, Satoru Fujita1, Keizo Oyama2,3 (1. Hosei Univ., 2. National Institute of Informatics, 3. National Institute of Japanese Literature)
[D-12-46]Line Order Estimation Using Deep Neural Networks for Classical Japanese Document Images
〇Asahi Sakurai1, Tetsuya Suzuki1 (1. Shibaura Institute of Technology)
[D-12-47]Improving Recognition Accuracy via Data Augmentation of Historical Document Character Images Using Diffusion Models and Flow Matching
〇Hiraku Yamada1, Kento Morita1, Tetsushi Wakabayashi1 (1. Division of Computer Science, Graduate School of Engineering, Mie University.)
[D-12-48]High-Accuracy Kuzushiji Recognition by Decoupling Character Detection and Classification
◎Ryo Ishido1, Satoru Fujita1, Keizo Oyama2,3 (1. Hosei University, 2. National Institute of Japanese Literature, 3. National Institute of Informatics)
