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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 133 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2021-03-04
14:10
Online Online Hardware Implementation of Object Recognition Neural Network using Depth Images
Yuma Yoshimoto (Kyutech/JSPS Research Fellow), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) SIS2020-47
In this study, we propose an object recognition neural network using depth images, implemented on an FPGA for service ro... [more] SIS2020-47
pp.67-70
NC, MBE
(Joint)
2021-03-03
09:50
Online Online Neuronal correlation between the responses to surface and shape in monkey V4
Itsuki Machida, Atsushi Kodama, Ko Sakai (Univ. of Tsukuba) NC2020-42
Integration of multiple properties of an object is a fundamental function of the visual cortex in object recognition. Su... [more] NC2020-42
pp.7-10
NC, NLP
(Joint)
2021-01-22
10:05
Online Online Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand
Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2020-36
Object recognition and object grasping using image recognition methods have been actively researched, but most of them c... [more] NC2020-36
pp.24-28
PRMU 2020-12-17
10:30
Online Online Simultaneous learning of object foreground, pose and class using only class teacher
Shunsuke Yoneda (Tottori Univ.), Go Irie (NTT), Masashi Nisiyama, Yoshio Iwai (Tottori Univ.) PRMU2020-40
(To be available after the conference date) [more] PRMU2020-40
pp.12-17
AI, IPSJ-ICS, JSAI-SAI, JSAI-DOCMAS, JSAI-KBS
(Joint)
2020-03-09
14:00
Hokkaido   Object Placement Recognition Using Depth Camera and Distance Sensor for Autonomous Mobile Robot
Masanori Irie, Hirokazu Watabe, Seiji Tsuchiya (Doshisha) AI2019-60
In recent years, attention has been paid to robots that help humans in their daily lives, and these robots need to perfo... [more] AI2019-60
pp.37-42
NC, MBE
(Joint)
2020-03-04
16:35
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Figure-ground Consistency between the Responses of Monkey V4 Neurons and Human Perception -- Analyses across Electrophysiology, Psychophysics, and a Linear Kernel Model --
Motofumi Shishikura, Kazufumi Suzuki (Univ. Tsukuba), Yukako Yamane, Hiroshi Tamura (Osaka Univ.), Ko Sakai (Univ. Tsukuba) NC2019-88
Perception of the direction of figure could be confused and inconsistent when a natural image was observed through a sma... [more] NC2019-88
pp.71-75
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-28
16:50
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Note on Image Retrieval Focusing on Objects in Images -- Improving Retrieval Performance Based on Object Recognition Using RetinaNet --
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Image retrieval method using a text as a query is effective because it enables users to prepare query easily. In these m... [more]
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) English-use support system using multimodal interface
Kaito Aoki, Fumihiko Ishida (NIT, Toyama Col.)
In recent years, we frequently use English due to globalization. In actual English communication, even if you study Engl... [more]
RECONF 2019-09-19
16:00
Fukuoka KITAKYUSHU Convention Center The Implementation of Binarized YOLO System on Low-cost FPGA
Kaijie Wei, Koki Honda, Hideharu Amano (Keio) RECONF2019-32
State-of-the-art AI application on low-end edge device faces two challenges: high energy utilization and resources defic... [more] RECONF2019-32
pp.63-68
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
13:40
Okayama   A method for visualizing the cause of misrecognition in object recognition using CNN
Tomonori Kubota (Fujitsu Lab.), Yasuyuki Murata (FST), Yoshifumi Uehara, Akira Nakagawa (Fujitsu Lab.) PRMU2019-25 MI2019-44
In this paper, we propose a method for visualizing the cause of misrecognition in object recognition using CNN. By this ... [more] PRMU2019-25 MI2019-44
pp.99-104
PRMU, BioX 2019-03-18
10:45
Tokyo   Additional Tasks for Image Recognition
Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) BioX2018-55 PRMU2018-159
(To be available after the conference date) [more] BioX2018-55 PRMU2018-159
pp.155-160
AI, IPSJ-ICS, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI 2019-03-09
13:00
Hokkaido   Learning method to recognize both illustration image and Real image using CNN
Tomoya Takenaka, Koichi Watanabe, Seiji Tsuchiya (Doshisha) AI2018-53
In recent years, the development of robots has been carried out for making human life more convenient and more comfortab... [more] AI2018-53
pp.1-5
NC, MBE
(Joint)
2019-03-06
10:45
Tokyo University of Electro Communications The receptive-field structure of figure-ground preference cells in monkey V4
Koji Kimura (Tsukuba Univ.), Yukako Yamane, Hiroshi Tamura (Osaka Univ.), Ko Sakai (Tsukuba Univ.) NC2018-77
(To be available after the conference date) [more] NC2018-77
pp.181-185
IN, NS
(Joint)
2019-03-05
11:50
Okinawa Okinawa Convention Center An optimization method of wireless communication bandwidth in Drone object recognition using edge computing
PengFei Sun, Akihiro Nakao (Tokyo Univ.) NS2018-250
Real-time object detection is considered challenging in many UAV applications, such as detection, surveillance, search a... [more] NS2018-250
pp.337-342
IN 2019-01-22
10:00
Aichi WINC AICHI Sightseeing Spot Recommendation Based on Photographer's Preference Extracted from Sightseeing Photographs
Hiroki Nakano, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.) IN2018-80
Along with the spread of mobile terminal devices, the number of users who take pictures during traveling and post them t... [more] IN2018-80
pp.45-50
DE, IPSJ-DBS 2018-12-22
10:00
Tokyo National Institute of Informatics An Automatic Synchronization Method of Lyrics and Pictures using Word Embedding and Generic Object Recognition
Syo Yamaguchi, Daisuke Kitayama (Kogakuin Univ.) DE2018-25
Generating and sharing video content has become popular. Some video contents are the slideshow that combines pictures an... [more] DE2018-25
pp.29-34
SIS 2018-12-07
10:30
Yamaguchi Hagi Civic Center Hardware Oriented Object Recognition Neural Network using Depth Image
Yuma Yoshimoto, Hakaru Tamukoh (KIT) SIS2018-32
In recent years, deep learning using Convolutional Neural Network (CNN) has attracted attention as a powerful method for... [more] SIS2018-32
pp.55-60
CS, IE, IPSJ-AVM, ITE-BCT [detail] 2018-11-30
14:25
Tokushima Tokushima University (Memorial Hall of Almuni(Engineering)) Classification of man-made objects and nature-made objects in images using neural network
Keisuke Watanabe, Yukinori Suzuki (Muroran IT) CS2018-84 IE2018-63
Classification of objects into man-made objects and nature-made objects is important for accurate recognition of objects... [more] CS2018-84 IE2018-63
pp.105-110
NS 2018-10-18
13:50
Kyoto Kyoto Kyoiku Bunka Center [Poster Presentation] An optimization method of wireless communication bandwidth in drone object recognition using edge computing
PengFei Sun, Akihiro Nakao (The University Of Tokyo) NS2018-114
Real-time object detection is considered challenging in many UAV applications, such as detection, surveillance, search a... [more] NS2018-114
pp.45-48
PRMU, SP 2018-06-28
14:10
Nagano   Language model utilizing image features for automatic speech recognition
Aiko Hagiwara, Hitoshi Ito, Manon Ichiki, Takeshi Mishima, Shoei Sato (NHK) PRMU2018-22 SP2018-2
NHK is pursuing the development of a system using speech recognition for the closed caption production of live broadcast... [more] PRMU2018-22 SP2018-2
pp.3-6
 Results 21 - 40 of 133 [Previous]  /  [Next]  
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