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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2022-03-10 15:50 |
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.) |
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 | Context free grammar with tree structure analysis for online handwritten mathematical expression recognition Naruki Kitashima, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT) |
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 | Self-supervised Contrastive Learning Using Triplet Loss for Offline Recognition of Handwritten Chinese Text lines Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) |
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 | 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 | 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 | 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 | 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 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 | 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 |
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| PRMU | 2019-10-18 16:15 |
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 |
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| PRMU, BioX | 2019-03-17 10:30 |
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 | 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 | [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 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 13:30 |
Tokyo | Prototyping of a Computer Automated and Assisted Marking System for Handwritten Math Answers employing Online Handwriting Recognition and Clustering Shinsuke Sasaki, Liang Xiuyu, Masaki Nakagawa (TUAT) PRMU2017-50 IBISML2017-22 |
In this paper, we report prototyping of a computer automated and assisted marking system for handwritten math answers em... [more] | PRMU2017-50 IBISML2017-22 pp.91-96 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 16:20 |
Tokyo | Text-Independent Writer Identification using Convolutional Neural Networks Cuong Tuan Nguyen, Takeya Ino, Hung Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) PRMU2017-54 IBISML2017-26 |
[more] | PRMU2017-54 IBISML2017-26 pp.129-134 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:00 |
Toyama | Stroke-by-stroke Order Evaluation of Online Handwritten Kanji Characters using Directional Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-54 IBISML2016-9 |
This paper presents a stroke order evaluation method for online handwritten Kanji characters written on a tablet. Previo... [more] | PRMU2016-54 IBISML2016-9 pp.1-5 |
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| PRMU, SP, WIT, ASJ-H | 2016-06-13 10:00 |
Tokyo | Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-37 SP2016-3 WIT2016-3 |
Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. T... [more] | PRMU2016-37 SP2016-3 WIT2016-3 pp.13-18 |
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| PRMU, BioX | 2016-03-24 13:30 |
Tokyo | Preparation of an Unconstrained Vietnamese Online Handwriting Database and Recognition Experiments by BLSTM Hung Tuan Nguyen, Cuong Tuan Nguyen (Tokyo Univ. of Agri. and Tech.), Pham The Bao (Ho Chi Minh City University of Science), Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) BioX2015-51 PRMU2015-174 |
In this paper, we present preparation of a Vietnamese online handwriting database and recognition experiments employing ... [more] | BioX2015-51 PRMU2015-174 pp.59-64 |
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| PRMU, BioX | 2016-03-24 14:00 |
Tokyo | Reconsideration on Text/Non-text Classification for Online Handwritten Ink Documents by BLSTM Neural Networks Soichiro Inatani, Truyen Van Phan, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) BioX2015-52 PRMU2015-175 |
This paper reports reconsideration on text/non-text classification in online handwritten documents by BLSTM neural netwo... [more] | BioX2015-52 PRMU2015-175 pp.65-70 |
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| PRMU, CNR | 2016-02-21 10:30 |
Fukuoka | Line Segmentation of On-line Handwritten Mathematical Expressions Shinsuke Sasaki, Anh Duc Le, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2015-134 CNR2015-35 |
This paper presents methods of line segmentation for multiple lines of online handwritten mathematical expressions. We p... [more] | PRMU2015-134 CNR2015-35 pp.13-18 |
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