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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2023-03-17 13:10 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Periodic Memory and Learning Chaotic Dynamical Systems in Hysteresis Reservoir Computing Tsukasa Saito, Kenya Jin'no (Tokyo City Univ.)  MSS2022-100 NLP2022-145 |
Hysteresis Reservoir Computing, which applies a simple hysteresis network to the reservoir layer of reservoir computing,... [more] | MSS2022-100 NLP2022-145 pp.178-181 |
| RCC, ISEC, IT, WBS | 2023-03-14 15:45 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Improvement of the Performance for Quantum Neural Network Classifiers based on Optimal Quantum Measurement Decoding Yusaku Yamada, Jun Suzuki (UEC) IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103 |
In this work, we study the problem of supervised label classification using quantum neural network (QNN). We propose a m... [more] | IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103 pp.242-247 |
| ET | 2023-03-15 13:35 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
A Practical Evaluation of Visualization and Sharing Tools to Promote Structured Reading and Cross-Referencing in a Learning Community Hideo Funaoi (Soka Univ.), Shoko Matsumine (Koshoku Library of Chikuma City), Yoshihiko Kubota (Tamagawa Univ.), Hideyuki Suzuki (Ibaraki Univ.) ET2022-87 |
In recent years, an increasing number of students do not try to study individual classes in depth and stop only at earni... [more] | ET2022-87 pp.172-177 |
| MI | 2023-03-07 10:51 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Deep learning-based MRI phase unwrapping technique by using BlochSolver Kota Tsutsui, Yuta Endo, Haruna Shibou, Sanae Takahashi, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ) MI2022-110 |
MRI (Magnetic Resonance Imaging) has excellent image contrast; however, phase errors due to magnetic field inhomogeneiti... [more] | MI2022-110 pp.150-154 |
| RCS, SR, SRW (Joint) |
2023-03-01 11:15 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Self-Superviced Non-IID Federated Learning by using CKA Li Zhaojie, Ohtsuki Tomoaki (Keio Univ.), Gui Guan (NJUPT) RCS2022-254 |
Federated Learning is now widely used to train neural networks on distributed datasets. It allows a system to perform di... [more] | RCS2022-254 pp.42-47 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 15:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Multiscale Manifold Clustering and Embedding with Multiple Kernels Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2022-123 SIP2022-167 SP2022-87 |
This paper presents a clustering and embedding method to analyze data which lie on a union of multiple manifolds having ... [more] | EA2022-123 SIP2022-167 SP2022-87 pp.276-281 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 17:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention Tomoki Ikeda, Masaaki Ikehara (Keio Univ.) EA2022-127 SIP2022-171 SP2022-91 |
Salient Object Detection is a task to detect visually significant objects in an image. Conventional methods have proble... [more] | EA2022-127 SIP2022-171 SP2022-91 pp.300-305 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 11:30 |
Hokkaido | Hokkaido Univ. | Implementation of Hierarchical Object Detection Method for Super High-Definition Image Sensing Makoto Sugaya, Yusei Horikawa, Renpei Yoshida, Tetsuya Matsumura (Nihon Univ.) ITS2022-65 IE2022-82 |
In this paper, we propose a hierarchical object detection method for a 4K super-high definition. This method is a three-... [more] | ITS2022-65 IE2022-82 pp.130-135 |
| MBE, MICT, IEE-MBE [detail] | 2023-01-17 09:50 |
Saga | Oral Cytology Based on Representation Learning of Visually Salient Cells Kazuki Matsuo, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.) MICT2022-44 MBE2022-44 |
We classify microscopically photographed cells for screening tests to find oral cancer in its early stages. Oral cancer ... [more] | MICT2022-44 MBE2022-44 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 | 2022-12-16 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 |
| IN, IA (Joint) |
2022-12-13 10:40 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
Learning-based People Flow Estimation using Wi-Fi Access Logs Yuki Sakurai, Shingo Ata (Osaka Metropolitan Univ.) IN2022-48 |
People flow analysis, which visualizes and analyzes the movement and/or stay of people in various locations, is attracti... [more] | IN2022-48 pp.26-31 |
| SIS | 2022-12-05 15:40 |
Osaka | (Primary: On-site, Secondary: Online) |
Accuracy Improvement of Small Object Detection Based on Deep Learning Junya Morioka, Ryusuke Miyamoto (Meiji Univ.) SIS2022-29 |
Various methods based on deep learning have been proposed for object detection, but there is still much room for improvi... [more] | SIS2022-29 pp.32-37 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-30 10:20 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Deep Learning-based Hierarchical Object Detection System for High-Resolution Images Yusei Horikawa, Makoto Sugaya, Renpei Yoshida, Kazuma Mashiko, Tetsuya Matsumura (Nihon Univ.) VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 |
This paper describes a new deep learning-based hierarchical object detection algorithm for high-resolution vision sensor... [more] | VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 pp.144-149 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 10:45 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Study on Training Data Generation for Estimating Spatial Loss Fields Yoshiaki Nishikawa (NEC), Takahiro Matsuda (TMU), Eiji Takahashi, Takeo Onishi, Toshiki Takeuchi (NEC) CQ2022-47 |
Spatial Loss Fields (SLFs) are maps quantifying the attenuation of radio signals in a monitored region. SLFs, which are ... [more] | CQ2022-47 pp.1-6 |
| SIS, ITE-BCT | 2022-10-13 16:00 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
[Invited Talk]
Quasiconformal Mapping and its Application
-- Numerical Method and Application to Machine Learning -- Hirokazu Shimauchi (Hachinohe Inst. of Tech.) SIS2022-14 |
Quasiconformal mapping is a natural generalization of conformal mapping and plays an important role in the areas of math... [more] | SIS2022-14 pp.17-20 |
| AP, MW (Joint) |
2022-09-14 14:40 |
Ehime | The Museum of Art, EHIME (Primary: On-site, Secondary: Online) |
A Study of Building Map Representation for Spatiotemporal Channel Parameters Estimation Model by Machine Learning Keiji Yoshikawa, Tatsuya Nagao, Kazuki Takezawa, Takahiro Hayashi (KDDI Research, Inc) AP2022-78 |
Wireless emulators are being developed to design and evaluate wireless systems in virtual space. To emulate various envi... [more] | AP2022-78 pp.38-43 |
| AP, SANE, SAT (Joint) |
2022-07-27 09:25 |
Hokkaido | Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Study of Rain Attenuation Prediction Method by Deep Learning Yuji Komatsuya, Tetsuro Imai (TDU), Miyuki Hirose (Kyutech) AP2022-34 |
Recently, the frequency used in wireless systems has got higher significantly, such as B5G, HAPS, etc., and the importan... [more] | AP2022-34 pp.1-5 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 13:25 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Deep Reinforcement Learning-based IRS-aided Wireless Communication without Channel State Information Hashida Hiroaki, Kawamoto Yuichi, Kato Nei (Tohoku Univ.), Iwabuchi Masashi, Murakami Tomoki (NTT) RCS2022-85 |
Intelligent reflecting surfaces (IRSs) have attracted attention as devices that enable radio propagation, which has been... [more] | RCS2022-85 pp.84-89 |
| MI | 2022-07-08 16:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-37 |
Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] | MI2022-37 pp.22-23 |
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