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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 410  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-17
15:00
Online Online (To be available after the conference date) [more]
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-17
15:00
Online Online Study of End-to-End Text-to-Speech that can seamlessly control speaker's individuality by Manipulating Speaker features
Naoki Aotani, Sunao Hara, Msanobu Abe (Okayama Univ)
(To be available after the conference date) [more]
CAS, SIP, VLD, MSS 2022-06-16
14:40
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Adversarial Robustness of Secret Key-Based Defenses against AutoAttack
Miki Tanaka, April Pyone MaungMaung (Tokyo Metro Univ.), Isao Echizen (NII), Hitoshi Kiya (Tokyo Metro Univ.)
(To be available after the conference date) [more]
CCS, NLP 2022-06-09
15:20
Osaka
(Primary: On-site, Secondary: Online)
Speeding-up by Reduction of Processing Paths in Octave Convolution
Akito Yoshikawa, Hidehiro Nakano (Tokyo City Univ.)
(To be available after the conference date) [more]
SIS, IPSJ-AVM 2022-06-09
15:00
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
[Invited Talk] Advanced applications of machine learning techniques towards high-performance and cost-effective visual inspection AI
Terumasa Tokunaga (Kyutech)
(To be available after the conference date) [more]
CCS, NLP 2022-06-09
17:15
Osaka
(Primary: On-site, Secondary: Online)
Visualization of decisions from CNN models trained on OpenStreetMap images labeled based on traffic accident data
Kaito Arase, Zhijian Wu, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)
(To be available after the conference date) [more]
SIS, IPSJ-AVM 2022-06-10
13:00
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] How to build a High-Precision and Efficient Robot Vision: Dataset Generation and Hardware Implementation for Deep Learning
Hakaru Tamukoh (Kyutech)
(To be available after the conference date) [more]
SC 2022-05-27
09:55
Online Online Considerations for Identifying Machine Learning Models
Naoto Kiribuchi, Ryohei Suzuki, Nami Ashizawa (NTT), Tetsushi Ohki, Hiroshi Mineno, Masakatsu Nishigaki (Shizuoka Univ.) SC2022-2
As a part of considerations for identifying machine learning models, we experimented whether we can identify multiple di... [more] SC2022-2
pp.7-12
SC 2022-05-27
13:25
Online Online Improvement of Performance of Question and Answering System using Ontology Generation
Ayato Kuwana, Incheon Paik (UoA) SC2022-7
Automating ontology generation from raw text corpus is required to meet the ontology demand. As an initial attempt of on... [more] SC2022-7
pp.37-42
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-19
16:10
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
[Invited Talk] Image and Video Restoration with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) SIP2022-15 BioX2022-15 IE2022-15 MI2022-15
In this talk, I will introduce techniques for restoring black-and-white images and videos with high accuracy using deep ... [more] SIP2022-15 BioX2022-15 IE2022-15 MI2022-15
p.78
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
16:40
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
pp.150-155
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
17:00
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
(To be available after the conference date) [more] SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
pp.156-160
EA 2022-05-13
16:25
Online Online Study on noise reduction with a single noisy speech based on Double-DIP
Hien Oonaka (NITTC), Takuya Fujimura (Nagoya Univ.), Ryoichi Miyazaki (NITTC) EA2022-12
This paper proposes a new noise reduction method with an untrained Deep Neural Network ( DNN) for a single noisy speech.... [more] EA2022-12
pp.54-61
PRMU, IPSJ-CVIM 2022-05-13
10:00
Aichi Toyota Technological Institute Robust Small Objects Detection Using YOLO-v4 with Attention and Layer
Yuedong Li (Chuo Univ) PRMU2022-1
Abstract: It is a difficult problem how to make traditional neural network algorithm show good adaptability to the typic... [more] PRMU2022-1
pp.1-5
PRMU, IPSJ-CVIM 2022-05-13
10:45
Aichi Toyota Technological Institute Efficient DNN model for word lip-reading
Daiki Arakane, Takeshi Saitoh (Kyutech) PRMU2022-4
This paper studies various deep learning models for lip-reading technology, including one of supervised learning of the ... [more] PRMU2022-4
pp.18-23
NS 2022-04-15
11:10
Tokyo kikai shinkou kaikan + online
(Primary: On-site, Secondary: Online)
Service Chaining Based on Capacitated Shortest Path Tour Problem -- Solution Based on Deep Reinforcement Learning and Graph Neural Network --
Takanori Hara, Masahiro Sasabe (NAIST) NS2022-2
The service chaining problem is one of the resource allocation problems in network functions virtualization (NFV) networ... [more] NS2022-2
pp.7-12
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
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-09
10:10
Online Online (Zoom) A study on player and ball tracking in tennis videos.
Kosuke Matsumoto (Kobe univ.), Junki Tamae (iret), Nobutaka Kuroki (Kobe univ.), Kensuke Hirano (iret), Masahiro Numa (Kobe univ.) IMQ2021-16 IE2021-78 MVE2021-45
This paper proposes a player and ball tracking method in tennis videos with image processing techniques. The proposed me... [more] IMQ2021-16 IE2021-78 MVE2021-45
pp.33-38
IBISML 2022-03-08
13:05
Online Online [Invited Talk] ---
Takashi Matsubara (Osaka Univ.) IBISML2021-34
Deep learning is being considered as the most promising approach to building an artificial intelligence (AI) system; it ... [more] IBISML2021-34
p.27
IBISML 2022-03-09
10:15
Online Online [Invited Talk] ---
Takahiro Tsukahara (Tokyo University of Science) IBISML2021-41
Turbulence of viscoelastic fluids, such as dilute polymer/surfactant solutions, is of practical importance, because it c... [more] IBISML2021-41
p.34
 Results 1 - 20 of 410  /  [Next]  
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