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 |