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Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2022)
Search Results: Keywords 'from:2022-12-15 to:2022-12-15'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2022-12-15 10:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Development of a virtual aerial display that can interact with 3DCG objects Hideaki Saito, Hiroki Imamura (Soka Univ)  PRMU2022-32 |
[more] | PRMU2022-32 pp.1-6 |
| PRMU | 2022-12-15 10:15 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Multi object tracking using multiple frames features. Takanori Asanomi, Kazuya Nishimura, Ryoma Bise (Kyushu Univ.) PRMU2022-33 |
[more] | PRMU2022-33 pp.7-12 |
| PRMU | 2022-12-15 10:30 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Single Image Raindrop Removal Using a Non-local Operator and Feature Maps in the Frequency Domain Shinya Ezumi, Masaaki Ikehara (Keio Univ.) PRMU2022-34 |
High-quality raindrop removal is desired for outdoor image processing systems as well as for acquiring good-looking imag... [more] | PRMU2022-34 pp.13-18 |
| PRMU | 2022-12-15 10:45 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
DN4C
-- An Interactive Image Segmentation System Combining Deep Neural Network and Nearest Neighbor Classifier -- Toshikazu Wada, Koji Kamma (Wakayama University) PRMU2022-35 |
Color/texture based image segmentation can be widely applied to the images for product and/or medical inspection, remote... [more] | PRMU2022-35 pp.19-24 |
| PRMU | 2022-12-15 14:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
PRMU2022-36 |
(To be available after the conference date) [more] | PRMU2022-36 pp.25-28 |
| PRMU | 2022-12-15 14:10 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
* Yuki Taya, Rin Takano, Hiroyuki Oyama (NEC) PRMU2022-37 |
In order for a robot to perform a given task instruction, it is important for the robot to correctly recognize the targe... [more] | PRMU2022-37 pp.29-33 |
| PRMU | 2022-12-15 14:25 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
A DNN compression method based on output error of activation functions Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-38 |
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] | PRMU2022-38 pp.34-39 |
| PRMU | 2022-12-15 14:40 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
[Short Paper]
A Module Selection-based Approach for Efficient Skeleton Human Action Recognition Shurong Chai, Rahul Kumar Jain, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Fujita Health Univ), Yinhao Li, Yen-Wei Chen (Ritsumeikan Univ.) PRMU2022-39 |
[more] | PRMU2022-39 pp.40-42 |
| PRMU | 2022-12-15 15:30 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Training Method for Image-based Instance Segmentation by Video-based Object-Centric Representation Learning Tomokazu Kaneko, Ryosuke Sakai, Soma Shiraishi (NEC) PRMU2022-40 |
Object-centric representation learning (OCRL) aims to separate and extract object-wise representations from an image. ... [more] |
PRMU2022-40 pp.43-48 |
| PRMU | 2022-12-15 15:45 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Implementation of Intuitive 3-Dmensional Manipulation for 3DCG Objects Using Monocular Camera Hibiki Ito, Hiroki Imamura (Souka Univ.) PRMU2022-41 |
With the spread of smartphones, various operations are now possible using touch panels. However, the touch panel is a t... [more] |
PRMU2022-41 pp.49-53 |
| PRMU | 2022-12-15 16:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
[Short Paper]
An Intra- and Inter-Modality Transformer-based Fusion Model Using Multiemotional Audiovisual Features for Depression Prediction Shiyu Teng, Shurong Chai, Jiaqing Liu (Ritsumeikan Univ.), Tateyama Tomoko (Fujita Health Univ.), Xinyin Huang (Soochow Univ.), Yen-wei Chen (Ritsumeikan Univ.) PRMU2022-42 |
Depression is a prevalent mental ailment that causes many diseases all over the world. Identification of people with men... [more] | PRMU2022-42 pp.54-56 |
| PRMU | 2022-12-16 10:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Image Transformation Simulating the Height Change of Wide-angle Ceiling Camera for People Detection Hayato Kitao, Toshikazu Wada (Wakayama Univ.) PRMU2022-43 |
In recent years, surveillance cameras have been widely installed inside the buildings. Especially, wide-angle ceiling ca... [more] | PRMU2022-43 pp.57-62 |
| PRMU | 2022-12-16 10:15 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Pose-aware Disentangled Multiscale Transformer for Pose Guided Person Image Generation Kei Shibasaki, Masaaki Ikehara (Keio Univ.) PRMU2022-44 |
Pose Guided Person Image Generation (PGPIG) is the task that transforms the pose of a person image from the source image... [more] | PRMU2022-44 pp.63-69 |
| PRMU | 2022-12-16 10:30 |
Toyama | Toyama International Conference Center (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 | 2022-12-16 10:45 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Development of a virtual aerial display that can interact with 3DCG objects Koji Nammatsu, Hiroki Imamura (Soka Univ) PRMU2022-46 |
In recent years, techniques for superimposing special effects on images have been widely used in a variety of contents.I... [more] | PRMU2022-46 pp.76-80 |
| PRMU | 2022-12-16 11:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
[Short Paper]
Contrastive Learning using Adversarial Metric Learning Modules for Robust Image Recognition Yoshifumi Sugiyama (Tokyo Tech), Hirokatsu Kataoka (AIST), Rio Yokota, Nakamasa Inoue (Tokyo Tech) PRMU2022-47 |
[more] | PRMU2022-47 pp.81-84 |
| PRMU | 2022-12-16 14:10 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Sampling Strategies in Data Pruning Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2022-48 |
Data Pruning is a method of selecting the training data out of an entire training dataset so as to keep the accuracy aft... [more] | PRMU2022-48 pp.85-90 |
| PRMU | 2022-12-16 14:25 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Investigation for the Importance of Brightness Adjustment in Image Recognition for Water Hyacinth Using Semantic Segmentation Soma Miyamoto, Hiroki Imamura (Soka Univ.) PRMU2022-49 |
Water hyacinth, which is abundant in tropical and temperate regions, causes great damage in various fields such as infra... [more] | PRMU2022-49 pp.91-94 |
| PRMU | 2022-12-16 14:40 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Data Augmentation Shumpei Takezaki (Kyushu Univ.), Kiyohito Tanaka (Kyoto Second Red Cross Hospital), Seiichi Uchida, Takeaki Kadota (Kyushu Univ.) PRMU2022-50 |
Disease severity regression by a convolutional neural network (CNN) for medical images requires a sufficient number of i... [more] | PRMU2022-50 pp.95-99 |
| PRMU | 2022-12-16 14:55 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
On a difficulty of TextVQA Koki Nakamura, Seiichi Uchida (Kyushu Univ.) PRMU2022-51 |
Text Visual Question Answering (TextVQA) is a task that uses textual information in images to generate natural language ... [more] | PRMU2022-51 pp.100-105 |
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