Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM, IBISML |
2025-03-19 17:00 |
Shiga |
(Shiga, Online) (Primary: On-site, Secondary: Online) |
Contrastive Siamese Network-based Image Similarity for Automatically Scoring Handwritten Text Answers Tuan Nam Ly, Hung Tuan Nguyen, Nghia Thanh Truong, Masaki Nakagawa (TUAT) |
[more] |
|
ET |
2025-03-01 10:45 |
Nagano |
Shinshu University Faculty of Education (Nagano) |
Design Goals and Principles of an Automatic Scoring System for Handwritten Answers on Electronic Paper Masaki Nakagawa, Hung Tuan Nguyen, Nghia Thanh Truong, Nam Tuan Ly (TUAT), Cuong Tuan Nguyen (VGU), Tomo Asakura, Hiroshi Miyazawa, Toshihiko Horie (Wacom) |
[more] |
|
ET |
2025-03-01 13:00 |
Nagano |
Shinshu University Faculty of Education (Nagano) |
Automatic scoring for handwritten answers from elementary to junior high school grades in Japan Hung Tuan Nguyen, Nghia Thanh Truong, Nam Tuan Ly, Masaki Nakagawa (TUAT), Toshihiko Horie (Wacom) |
[more] |
|
ET |
2025-03-01 13:25 |
Nagano |
Shinshu University Faculty of Education (Nagano) |
Integrating Handwriting User Interface and Recognition into Moodle for answers in Japanese, English, Mathematical and Chemical Formulas Nghia Thanh Truong, Hung Tuan Nguyen, Masaki Nakagawa (TUAT), Fumiko Yasuno (NIER) |
[more] |
|
ET |
2025-03-01 16:10 |
Nagano |
Shinshu University Faculty of Education (Nagano) |
ASHITA : An Automatic and Semi-automatic Scoring System for Handwritten Answers of Digital Ink Tomo Asakura, Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masato Nemoto, Masamitsu Ito, Toshihiko Horie (Wacom), Hung T. Nguyen, Nghia T. Truong, Masaki Nakagawa, Keiichi Kaneko (TUAT) |
[more] |
|
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 17:00 |
Hokkaido |
Future University Hakodate (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
A Semi-Supervised Learning Framework for Handwritten Text Recognition using Mixed Augmentations and Scheduled Pseudo-Label Loss Masayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen (TUAT), Cong Kha Nguyen, Ryosuke Odate, Takashi Kanemaru (Hitachi Ltd.), Masaki Nakagawa (TUAT) PRMU2022-97 IBISML2022-104 |
We propose Incremental Teacher Model, a semi-supervised learning (SSL) framework for handwriting text recognition. The f... [more] |
PRMU2022-97 IBISML2022-104 pp.199-204 |
PRMU |
2022-12-16 10:30 |
Toyama |
Toyama International Conference Center (Toyama, Online) (Primary: On-site, Secondary: Online) |
Digitization of education workbooks and collection of handwritten answers toward their automatic scoring Tomo Asakura (Wacom), Nguyen Tuan Hung, Nguyen Tuan Cuong (Tokyo Univ. of Agri. and Tech.), Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masamitsu Ito, Toshihiko Horie (Wacom), Ikuko Shimizu, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) PRMU2022-45 |
This paper reports on the display of workbooks on electronic paper, collection of digital-ink answers, and description o... [more] |
PRMU2022-45 pp.70-75 |
PRMU, IPSJ-CVIM |
2022-03-10 15:50 |
Online |
Online (Online) |
Visual Constraints for Generating Multi-domain Offline Handwritten Mathematical Expressions Huy Quang Ung, Hung Tuan Nguyen, Cuong Tuan Nguyen (Tokyo Univ. Agri. & Tech.), Tsunenori Ishioka (The National Cen. for Univ. Entrance Exam.), Masaki Nakagawa (Tokyo Univ. Agri. & Tech.) PRMU2021-69 |
Offline Handwritten Mathematical Expression (HME) recognition has been intensively studied for two decades. However, mos... [more] |
PRMU2021-69 pp.54-59 |
PRMU, IPSJ-CVIM |
2022-03-11 10:15 |
Online |
Online (Online) |
Context free grammar with tree structure analysis for online handwritten mathematical expression recognition Naruki Kitashima, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2021-76 |
In mathematics exams, descriptive questions are effective for measuring the comprehension of examinees, but marking hand... [more] |
PRMU2021-76 pp.103-108 |
PRMU, IPSJ-CVIM |
2022-03-11 10:45 |
Online |
Online (Online) |
Self-supervised Contrastive Learning Using Triplet Loss for Offline Recognition of Handwritten Chinese Text lines Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-78 |
In this paper, we propose a framework for contrastive learning of visual representations using online triplet loss and a... [more] |
PRMU2021-78 pp.115-120 |
ET |
2022-01-22 11:30 |
Online |
Online (Online) |
Design of CBT with Handwriting Input for Online LMS Ryo Yajima (TUAT), Fumiko Yasuno (NIER), Masaki Nakagawa, Ikuko Shimizu (TUAT) ET2021-45 |
Conventional Computer Based Testing (CBT) systems mainly support multiple-choice and short-answer questions inputted wit... [more] |
ET2021-45 pp.13-18 |
PRMU |
2021-12-16 14:55 |
Online |
Online (Online) |
Fully automatic scoring of handwritten descriptive answers in Japanese language tests Hung Tuan Nguyen, Cuong Tuan Nguyen (TUAT), Haruki Oka (UTokyo), Tsunenori Ishioka (The National Center for University Entrance Examinations), Masaki Nakagawa (TUAT) PRMU2021-32 |
This paper presents an experiment of automatically scoring handwritten descriptive answers in the trial tests for the ne... [more] |
PRMU2021-32 pp.45-50 |
PRMU |
2021-12-16 15:10 |
Online |
Online (Online) |
Neural Network-based Local Feature Descriptors for Matching Excavated Mokkan Fragments of Various Sizes Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-33 |
This paper presents a method to predict whether two excavated Mokkan fragments of various sizes are from the same tablet... [more] |
PRMU2021-33 pp.51-56 |
PRMU |
2020-12-18 10:45 |
Online |
Online (Online) |
CNN and 2D BLSTM for Local Feature Extraction in Handwritten Mathematical Expression Recognition Kei Morizumi, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2020-56 |
Descriptive questions in mathematics are effective to examine learners’ understanding, but marking handwritten answers a... [more] |
PRMU2020-56 pp.105-110 |
PRMU |
2020-09-02 10:45 |
Online |
Online (Online) |
Online trajectory recovery from offline handwritten Japanese kanji characters Hung Tuan Nguyen, Tsubasa Nakamura, Cuong Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) PRMU2020-11 |
[more] |
PRMU2020-11 pp.19-27 |
PRMU |
2019-10-18 10:30 |
Tokyo |
(Tokyo) |
Recognition of a Shogi phase image taken with a smartphone Akira Sato, Kei Morizumi, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2019-33 |
This paper reports recognition of Shogi phase images captured by a smartphone and transferred to our server. In these da... [more] |
PRMU2019-33 pp.11-15 |
PRMU |
2019-10-18 16:15 |
Tokyo |
(Tokyo) |
Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network Tsubasa Nakamura, Nguyen Tuan Cuong, Masaki Nakagawa (TUAT) PRMU2019-41 |
This paper presents a method to recover a dynamic trajectory from a handwritten character image using a deep neural netw... [more] |
PRMU2019-41 pp.53-58 |
PRMU, BioX |
2019-03-17 10:30 |
Tokyo |
(Tokyo) |
Improvement of a Computer Automated Marking System for Online Handwritten Math Answers employing Machine Recognition Xiuyu Liang, Shinsuke Sasaki, Cuong Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agriculture and Technology) BioX2018-31 PRMU2018-135 |
This paper proposes improvement of computer automated marking system for online handwritten math answers employing machi... [more] |
BioX2018-31 PRMU2018-135 pp.13-18 |
NLP, CCS |
2018-06-08 11:35 |
Kyoto |
Kyoto Terrsa (Kyoto) |
An experimentally faithful model for synchrony in certain fireflies, and its occurrence condition for traveling waves Masaki Nakagawa, Hisa-Aki Tanaka (UEC) NLP2018-33 CCS2018-6 |
Papua New Guinean fireflies, Pteroptyx effulgens, form traveling wave pattern{s with their flashing lights in a group. I... [more] |
NLP2018-33 CCS2018-6 pp.31-36 |
NLP, CAS |
2017-10-05 15:50 |
Niigata |
Machinaka Campus Nagaoka (Niigata) |
[Invited Talk]
Exploring optimality in nonliear problems
-- Applications to design methodology of injection-locking circuits and new vibration engineering -- Hisa-Aki Tanaka, Masaki Nakagawa (UEC), Hiroo Sekiya (Chiba Univ.) CAS2017-30 NLP2017-55 |
We have been enabling optimizing injection-locking phenomena, in collaboration with research groups in U.S. for these se... [more] |
CAS2017-30 NLP2017-55 pp.35-40 |