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Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2021)
Search Results: Keywords 'from:2022-03-10 to:2022-03-10'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2022-03-10 09:00 |
Online | Online | Deep Cascade Road Extraction Network: a Multi-task Method for Road Extraction Yubo Wang (Waseda Univ.), Zhao Wang, Yuusuke Nakano, Ken Nishimatsu (NTT), Katsuya Hasegawa (JAXA), Jun Ohya (Waseda Univ.)  PRMU2021-60 |
In this work, we present an end-to-end cascade neural network model called Deep Cascade Road Extraction Network to extra... [more] | PRMU2021-60 pp.1-6 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:15 |
Online | Online | Unsupervised adaptation of appearance-based gaze estimation models for domains with different label distributions. Takuru Shimoyama, Yusuke Sugano (The Univ. of Tokyo) PRMU2021-61 |
The annotation of gaze estimation is time-consuming, and it is not easy to collect training data under the exact same li... [more] | PRMU2021-61 pp.7-12 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:30 |
Online | Online | PRMU2021-62 |
no English abstract [more] | PRMU2021-62 pp.13-18 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:45 |
Online | Online | PRMU2021-63 |
This paper discusses construction of pattern recognition system using weight equations. Theoretical analysis and simula... [more] |
PRMU2021-63 pp.19-24 |
| PRMU, IPSJ-CVIM | 2022-03-10 10:40 |
Online | Online | Medical Image Captioning with Information based on Medical Concepts Riku Tsuneda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2021-64 |
Image Captioning for medical images is expected to augment the judgment of doctors and serve as a second opinion. Medica... [more] | PRMU2021-64 pp.25-30 |
| PRMU, IPSJ-CVIM | 2022-03-10 10:55 |
Online | Online | Few-shot fine-grained image recognition by transfer-leaning using knowledge graph Ryusei Taniguchi, Naoko Nitta (Osaka Univ.), Kazuaki Nakamura (TUS), Noboru babaguchi (Osaka Univ.) PRMU2021-65 |
(To be available after the conference date) [more] | PRMU2021-65 pp.31-36 |
| PRMU, IPSJ-CVIM | 2022-03-10 11:10 |
Online | Online | Designing tasks in meta-learning for few-shot fine-grained image recognition Shunya Inoue, Naoko Nitta (Osaka Univ.), Kazuaki Nakamura (TUS), Noboru Babaguchi (Osaka Univ.) PRMU2021-66 |
(To be available after the conference date) [more] | PRMU2021-66 pp.37-41 |
| PRMU, IPSJ-CVIM | 2022-03-10 15:20 |
Online | Online | PRMU2021-67 |
(To be available after the conference date) [more] | PRMU2021-67 pp.42-47 |
| PRMU, IPSJ-CVIM | 2022-03-10 15:35 |
Online | Online | PRMU2021-68 |
[more] | PRMU2021-68 pp.48-53 |
| 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.) 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 | 2022-03-10 16:05 |
Online | Online | Learning from AI: Proposal of interactive learning methods for learners learning from DNN embedded expertise knowledge as a teacher Kohei Hattori, Hironobu Fujiyoshi, Takayoshi Yamashita, Tsubasa Hirakawa (CHUBU) PRMU2021-70 |
(To be available after the conference date) [more] | PRMU2021-70 pp.60-65 |
| PRMU, IPSJ-CVIM | 2022-03-10 17:00 |
Online | Online | Landslide detection by UAV-based Multi-temporal Visual Analysis Yosuke Yamaguchi, Kai Matsui, Jun Ohya (Waseda Univ.), Katsuya Hasegawa (JAXA), Hiroshi Nagahashi (Tokyo Institute of Technology) PRMU2021-71 |
(To be available after the conference date) [more] | PRMU2021-71 pp.66-71 |
| PRMU, IPSJ-CVIM | 2022-03-10 17:15 |
Online | Online | Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion Kensuke Taguchi, Shogo Morita, Yusuke Hayashi, Wataru Imaeda (KYOCERA), Hironobu Fujiyoshi (Chubu Univ) PRMU2021-72 |
[more] | PRMU2021-72 pp.72-77 |
| PRMU, IPSJ-CVIM | 2022-03-10 17:30 |
Online | Online | Adversarial Training: A Survey Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2021-73 |
Adversarial training (AT) is a training method that aims to obtain a robust model for defencing the adversarial attack b... [more] | PRMU2021-73 pp.78-90 |
| PRMU, IPSJ-CVIM | 2022-03-11 09:45 |
Online | Online | A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74 |
In this study, we attempt to understand the meaning of adverbs through the features of human actions. Specifically, the... [more] |
PRMU2021-74 pp.91-96 |
| PRMU, IPSJ-CVIM | 2022-03-11 10:00 |
Online | Online | Generation of Handwritten Document Clones based on Font Style Transfer for Digital Document Images Koma Sasaki (Osaka Univ.), Kazuaki Nakamura (Tokyo Univ. of Science of), Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2021-75 |
(To be available after the conference date) [more] | PRMU2021-75 pp.97-102 |
| 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) 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 10:30 |
Online | Online | Generation of Handwritten Character Clones based on Collaborative Filtering with Character-wise Feature Spaces Koki Tamatani (Osaka Univ.), Kazuaki Nakamura (TUS), Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2021-77 |
(To be available after the conference date) [more] | PRMU2021-77 pp.109-114 |
| 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) 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 |
| PRMU, IPSJ-CVIM | 2022-03-11 11:00 |
Online | Online | Toward "Virtually" 100%; Quality Assurance Framework for Document Recognition Hiroshi Tanaka (Fujitsu) PRMU2021-79 |
With the development of DL (deep learning) technology, the recognition accuracy of OCR has improved dramatically. At the... [more] | PRMU2021-79 pp.121-126 |
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