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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 135  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-16
15:00
Online Online Automatic Classification of Respiratory Sounds using HPSS
Yuki Marubashi, Tohru Kamiya (KIT), Shingo Mabu (YU), Shoji Kido (OU)
(To be available after the conference date) [more]
KBSE 2021-03-06
14:10
Online Online Research for finding faults in Programs using object detection algorithm by CNN-BI system
Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2020-45
(To be available after the conference date) [more] KBSE2020-45
pp.65-70
NC, MBE
(Joint)
2021-03-05
13:50
Online Online DCSOM with Ensemble Learning Classifier
Akito Takahashi, Yukari Yamauchi (Nihon Univ) NC2020-71
(To be available after the conference date) [more] NC2020-71
pp.163-168
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-03
09:20
Online Online Study of Environment Recognition and 3D Map Generation Using SegNet for Night Forest Monitoring Using an Environmental Monitoring Robot
Takeo Kaneko (WASEDA Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atuo Takanishi (WASEDA Univ.) IMQ2020-29 IE2020-69 MVE2020-61
(To be available after the conference date) [more] IMQ2020-29 IE2020-69 MVE2020-61
pp.91-96
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
14:50
Online Online A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images -- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
14:50
Online Online Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) ITS2020-30 IE2020-44
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] ITS2020-30 IE2020-44
pp.19-24
CAS, ICTSSL 2021-01-29
15:45
Online Online Reproduction of Japanese drumming rhythm by Deep Neural Network(DNN)
Kazumi Okamoto, Hiroshi Tamura (Chuo Univ.) CAS2020-69 ICTSSL2020-54
Recently, artificial intelligence has been applied to music, such as automatic music generation. In this paper, we propo... [more] CAS2020-69 ICTSSL2020-54
pp.158-161
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] 2021-01-26
09:50
Online Online FPGA Implementation of Semantic Segmentation on LWIR Images for Autonomous Robot
Yuichiro Niwa (ATLA), Taiki Fujii (eSOL) VLD2020-57 CPSY2020-40 RECONF2020-76
Recently, deep learning of images has made remarkable progress, and its results are being applied to the automatic
reco... [more]
VLD2020-57 CPSY2020-40 RECONF2020-76
pp.101-106
HIP 2020-12-22
13:00
Online Online Gender Estimation Method from Handwritten Characters Based on Deep Neural Network
Koting Wu, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-56
Humans can infer the gender of the writer from handwritten characters to a certain extent. In this paper, we propose a m... [more] HIP2020-56
pp.15-19
PRMU 2020-12-18
17:15
Online Online Rethinking the local similarity in content-based image retrieval
Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68
Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] PRMU2020-68
pp.172-176
DC 2020-12-11
13:40
Hyogo
(Primary: On-site, Secondary: Online)
Study of Deep Learning based Object Detection for Automatic Train Operation in Railways
Shiva Krishna Maheshuni (UTokyo), Shimura Takahiro, Yabuki Kohei, Hasegawa Takumi (Kyosan Electric Mfg), Takeshi Mizuma (UTokyo) DC2020-61
Real time object detection is already being implemented in systems like autonomous driving in cars, surveillance Cameras... [more] DC2020-61
pp.12-17
SRW, SeMI, CNR
(Joint)
2020-11-27
10:20
Online Online Detection of human activity based on hybrid deep learning model using a low-resolution infrared array sensor.
Muthukumar K A, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2020-39
Artificial Intelligence (AI) plays a significant role in the healthcare industry. Many applications have been developed ... [more] SeMI2020-39
pp.99-104
SANE 2020-11-25
10:45
Online Online Generation of learning images corresponding to differences in ground penetrating radar and underground media for highly accurate identification of ground penetrating radar images with AI
Daiki Taga, Tomoyuki Kimoto (NIT, Oita), Jun Sonoda (NIT, Sendai) SANE2020-28
Ground penetrating radar is a technology that detects underground objects by utilizing the reflection of radio waves inc... [more] SANE2020-28
pp.7-12
RCS, AP, UWT
(Joint)
2020-11-25
09:50
Online Online Deep Learning Aided Channel Estimation for Massive MIMO with Pilot Contamination
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) RCS2020-110
In a time division duplex (TDD) based massive multiple-input multiple-output (MIMO) system, a base station (BS) needs ac... [more] RCS2020-110
pp.1-6
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2020-11-17
10:45
Online Online Implementation of YOLO in the AI accelerator ReNA
Toma Uemura, Yasuhiro Nakahara, Motoki Amagasaki, Masato Kiyama, Masahiro Iida (Kumamoto Univ.) VLD2020-22 ICD2020-42 DC2020-42 RECONF2020-41
The object detection,which is a typical AI process,has been attracting attention in various fields because it can identi... [more] VLD2020-22 ICD2020-42 DC2020-42 RECONF2020-41
pp.66-71
MICT, MI 2020-11-04
16:10
Online Online Performance of automated melanoma diagnosis by adding lesion information to deep convolutional neural network
Ginji Hirano, Mitsutaka Nemoto, Yuich Kimura, Takashi Nagaoka (Kindai University) MICT2020-20 MI2020-46
Melanoma is a type of superficial tumor, which is highly malignant. Early-stage melanoma is difficult to diagnose becaus... [more] MICT2020-20 MI2020-46
pp.62-64
PRMU 2020-10-09
13:45
Online Online A Tennis Racket Tip Detection Method Using A Convolutional Neural Network Generating Confidence Maps
Taichi Hosoi, Hirohisa Hioki (Kyoto Univ.) PRMU2020-26
As image processing technologies develop recently, many studies on sports video analysis are performed for various purpo... [more] PRMU2020-26
pp.44-49
PRMU 2020-10-09
15:15
Online Online Trajectory Forecasting using Deep Learning: A Survey
Horoaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2020-29
Trajectory forecasting is the technology of predicting the path along which moving objects such as a pedestrian and vehi... [more] PRMU2020-29
pp.62-78
RECONF 2020-09-11
14:55
Online Online An FPGA-Based Low-Latency Accelerator for Randomly Wired Convolutional Neural Networks
Ryosuke Kuramochi, Hiroki Nakahara (Tokyo Tech) RECONF2020-27
Convolutional neural networks(CNNs) are widely used for image tasks in both embedded systems and data centers. Particula... [more] RECONF2020-27
pp.48-53
MI 2020-09-03
13:10
Online Online [Invited Talk] Manifold modeling in embedded space for image restoration
Tatsuya Yokota (Nitech) MI2020-27
In this invited talk, I will discuss convolutional neural networks, which have achieved remarkable results in various im... [more] MI2020-27
pp.43-44
 Results 1 - 20 of 135  /  [Next]  
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