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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 54  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:30
Hokkaido Hokkaido Univ. A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:45
Hokkaido Hokkaido Univ. Classification of illustration images by mood using a combination of supervised and unsupervised learning
Keisuke Kubota, Masahiro Okuda (Doshisha Univ.)
(To be available after the conference date) [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
13:45
Hokkaido Hokkaido Univ. Automatic generation of eating order reports from first-person eating videos
Kenshiro Sato, Yoko Yamakata, Kiyoharu Aizawa (UTokyo)
(To be available after the conference date) [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
09:30
Hokkaido Hokkaido Univ. Spurious Correlation with Dataset Imbalance in Image Recognition
Hajime Oi, Toshihiko Yamasaki (UTokyo)
(To be available after the conference date) [more]
ICTSSL, CAS 2023-01-26
10:45
Tokyo TBD
(Primary: On-site, Secondary: Online)
On a social game recommendation system using collaborative filtering with Julia
Yoshiaki Shinjo, Ami Ukai, Hitoshi Miyamoto, Shun Nanai, Shunsuke Ohata, Takuto Ono, Tomoki Akiyama, Kotarou Naitou, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-64 ICTSSL2022-28
In this report, we consider and discuss how to build a social game recommendation system using collaborative filtering w... [more] CAS2022-64 ICTSSL2022-28
pp.14-17
PRMU 2022-10-21
15:40
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Action Recognition of Anime
Ayako Sakuma, Naoshi Kaneko, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2022-28
This paper presents an action recognition method for anime characters.
Since existing action recognition datasets focus... [more]
PRMU2022-28
pp.35-40
PRMU 2022-09-15
10:15
Kanagawa
(Primary: On-site, Secondary: Online)
Image retrieval for anime characters from original works, derivative works and merchandise
Shiqi Mao (Ritsumeiken Univ), Longjiao Zhao (Nagoya Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeiken Univ) PRMU2022-19
Recently, there are many successful models for retrieving animated characters. However, conventional studies have mainly... [more] PRMU2022-19
pp.55-60
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) SIS2022-10
This tutorial lecture explains a construction method for high-precision and efficient robot vision that includes a semi-... [more] SIS2022-10
pp.45-48
PRMU, IPSJ-CVIM 2022-03-11
14:15
Online Online Precise Affordance Annotation for Egocentric Action Video Datasets
Zecheng Yu, Yifei Huang, Ryosuke Furuta, Yusuke Goutsu, Yoichi Sato (Univ. of Tokyo) PRMU2021-81
Object affordance has attracted a growing interest in computer vision. It is an important concept that builds a bridge b... [more] PRMU2021-81
pp.133-138
PRMU 2021-12-16
10:30
Online Online Utilization of Synthetic Data for Mud Stain Removal from Single Image
Shusaku Asada, Yoshihito Kokubo (Aisin Corp.), Masaru Koide (MACNICA, Inc.), Kohei Yamamoto (Corpy&Co., Inc.), Yoshihisa Suetsugu (Aisin Corp.) PRMU2021-24
Mud stains on the lens can cause serious damage to the various image recognition systems. Compared to raindrops, mud sta... [more] PRMU2021-24
pp.1-6
PRMU, IPSJ-CVIM 2021-03-05
14:10
Online Online Improving Accuracy on Biased Datasets via Explanations of Deep Neural Networks
Kazuki Adachi, Shin'ya Yamaguchi (NTT) PRMU2020-93
Although it is desirable that training datasets for deep learning have diverse features, datasets that have biased featu... [more] PRMU2020-93
pp.139-144
PRMU, IPSJ-CVIM 2021-03-05
15:30
Online Online [Short Paper] Accurate underwater model based dataset and analysis
Shunsuke Takao (PARI) PRMU2020-96
Although underwater images are important in many fields,
image degradation such as color distortion or declined contra... [more]
PRMU2020-96
p.157
PRMU 2020-12-17
10:15
Online Online Synthesize talking anime-heads images by tunneling through human-heads domain
Shun Fujiuchi, Ryo Hachiuma, Kunihiro Hasegawa, Hideo Saito (Keio Univ.) PRMU2020-39
Avatars are widely used on the Internet to establish non-verbal communication without exposing one's physical identity. ... [more] PRMU2020-39
pp.7-11
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online Analysis of Relationship between Dishes and Foods towards Serving and Arrangement Support -- Feature Analysis Focusing on Color Histogram --
Hayate Fukumoto, Mitsunori Matsushita, Ryosuke Yamanishi (Kansai Univ.)
This paper investigate relationship between foods and plates based on each color histogram and its area. The goal of thi... [more]
AI 2020-12-10
13:30
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
Study on Depth Estimation from 4D Light Field Videos
Takahiro Kinoshita, Satoshi Ono (Kagoshima Univ.) AI2020-1
Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years. Mos... [more] AI2020-1
pp.1-6
SANE 2020-11-25
10:20
Online Online Observation of Hokkaido-Iburi-Tobu Earthquake by Deep Learning of SAR Images
Yang Yu, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2020-27
Environment of Japan is situated by steep mountains and some disasters as typhoons, heavy rains and earthquakes that cau... [more] SANE2020-27
pp.1-6
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
SIS 2020-03-05
15:30
Saitama Saitama Hall
(Cancelled but technical report was issued)
Deep Neural Networks for Object Detection and Classification on Domestic Service Robots
Yutaro Ishida, Hakaru Tamukoh (Kyutech) SIS2019-45
We propose a semi-automatic data set generation method, and a system integration method of robot operating system (ROS) ... [more] SIS2019-45
pp.45-50
HWS, VLD [detail] 2020-03-04
16:25
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
Machine Learning Based Lithography Hotspot Detection Method and Evaluation
Hidekazu Takahashi, Shimpei Sato, Atsushi Takahashi (Tokyo Tech) VLD2019-106 HWS2019-79
As VLSI device feature sizes are getting smaller and smaller, layout design
has become more important to keep the yield... [more]
VLD2019-106 HWS2019-79
pp.71-76
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Evaluation of vocal personality and expression for speech synthesized by non-parallel voice conversion with narrative speech
Ryotaro Nagase, Keisuke Imoto, Ryosuke Yamanishi, Yoichi Yamashita (Ritsumeikan Univ.) EA2019-138 SIP2019-140 SP2019-87
In the technology of voice conversion, reproduction of emotion and intonation, pause is one of the research issues. Howe... [more] EA2019-138 SIP2019-140 SP2019-87
pp.213-218
 Results 1 - 20 of 54  /  [Next]  
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