Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 15:30 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
High Precision Anomaly Detection using PaDiM based on Pre-training with Normality Constraint of Normal Features Hiroki Kobayashi, Manabu Hashimoto (Chukyo Univ.) IMQ2023-89 IE2023-144 MVE2023-118 |
In recent years, automatic visual inspection is expected with machine learning. Among them, PaDiM is attracting attentio... [more] |
IMQ2023-89 IE2023-144 MVE2023-118 pp.408-413 |
NC, MBE (Joint) |
2024-03-12 11:40 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Generalization Model of Monkey V4 Neurons based on FCN encoder Tsubasa Saito, Taisei Hara, Ko Sakai (Univ. of Tsukuba) NC2023-54 |
The V4 field in the ventral visual pathway is situated as an intermediary region processing visual information crucial f... [more] |
NC2023-54 pp.65-68 |
ICTSSL, CAS |
2024-01-26 15:20 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Attempts to I dentification of the Probability of Target D etection in Gaze Position Model of Visual S earch Kodai Hatta, Yuxuan Wang (Niigata Univ.), Akira Tsukada (NIT Toyama Col.), Yosinubu Maeda (Niigata Univ.) CAS2023-105 ICTSSL2023-58 |
At first glance, "Where's Wally?" looks difficult, but it is surprisingly easy to find Wally.
Thus, visual search is ef... [more] |
CAS2023-105 ICTSSL2023-58 pp.110-114 |
HIP |
2023-10-10 17:05 |
Kyoto |
Kyoto Keizai Center (Primary: On-site, Secondary: Online) |
Change of latent attention levels using microsaccade frequency in response to a stimulus vibration in the peripheral field of vision Minoru Nakayama, Takahiro Ueno (Tokyo Tech.) HIP2023-64 |
Levels of visual attention and cognitive load were evaluated with a modelling of behavioural responses and microsaccade ... [more] |
HIP2023-64 pp.22-27 |
DE, IPSJ-DBS, IPSJ-IFAT [detail] |
2023-09-21 15:50 |
Fukuoka |
Kitakyushu International Conference Center |
BoxPlotQA: Visual Question Answering for Measuring Five-Number Summary and Comparison Performance with Box Plot Yusuke Tozaki, Hisashi Miyamori (Kyoto Sangyo Univ.) DE2023-16 |
Recently, visual question and answer (VQA) research on document and chart images, as well as natural images, has attract... [more] |
DE2023-16 pp.31-36 |
WIT |
2023-06-17 15:20 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Improved Visual Intentions Estimation Model Using Depth Information and Object Detection Sho Higa, Masakiyo Okuhama, Koji Yamada (Ryukyu Univ.), Shihoko Kamisato (NIT,Okinawa College) WIT2023-17 |
In this study, we propose an improved visual intention estimation model based on object detection to distinguish eye and... [more] |
WIT2023-17 pp.76-77 |
PRMU, IPSJ-CVIM |
2022-05-13 10:30 |
Aichi |
Toyota Technological Institute |
Visualization of Decision Rationale Using Social and Physical Attention Mechanisms in Human Trajectory Prediction Model Masahiro Kato, Norimichi Ukita (TTI) PRMU2022-3 |
There is a great deal of interest in explainable AI that clarifies the basis of decisions, such as why a model makes a p... [more] |
PRMU2022-3 pp.12-17 |
HIP |
2021-10-22 13:10 |
Online |
Online |
A scanpath prediction model using deep learning considering the context of the gazing objects Yuhei Ohsawa, Takeshi Kohama (Kindai Univ.) HIP2021-43 |
Since the human gaze is a biological signal which reflects internal states such as consciousness and attention, it is po... [more] |
HIP2021-43 pp.69-74 |
HIP |
2021-10-22 13:35 |
Online |
Online |
A saliency estimation model for drivers' egocentric vision movies considering self-motion velocity Yuya Homma, Masashi Fujita, Takeshi Kohama (Kindai Univ.) HIP2021-44 |
In order to predict where a driver’s attention should be directed during driving, Kodama et al. have developed a salienc... [more] |
HIP2021-44 pp.75-80 |
MVE |
2021-09-17 14:00 |
Online |
Online |
A CNN model Using Neural Style Features for Predicting Aesthetic Impressions Score Distribution Yuya Ohagi (Kwansei Gakuin Univ.), Kensuke Tobitani (Univ. of Nagasaki), Iori Tani (Kobe Univ.), Sho Hashimoto (Seinan Gakuin Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2021-14 |
In this study, we propose a method for predicting the probability distribution of aesthetic impression scores considerin... [more] |
MVE2021-14 pp.33-37 |
NC, NLP (Joint) |
2021-01-22 13:55 |
Online |
Online |
Attentional modulation of spike synchrony in a disinihibition network model Nobuhiko Wagatsuma, Haruka Shimomura (Toho Univ.), Sou Nobukawa (CIT) NC2020-39 |
Recent computational study has reported that top-down attention mediated by feedback signals modulates the neuronal acti... [more] |
NC2020-39 pp.40-44 |
HIP |
2020-10-09 14:10 |
Online |
Online |
Change of eye movement in response to vibration stimulus in the peripheral field of vision Takahiro Ueno, Minoru Nakayama (Tokyo Tech.) HIP2020-47 |
Viewer's responses and eye movements were analysed in order to obtain selective perception for visual stimuli during dua... [more] |
HIP2020-47 pp.75-80 |
NC, MBE (Joint) |
2020-03-04 15:45 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Spike synchrony and firing rates for Border Ownership selective neurons in a disinhibition network Haruka Shimomura (Toho Univ), Sou Nobukawa (CIT), Nobuhiko Wagatsuma (Toho Univ) NC2019-86 |
Border Ownership (BO) tells which side of a contour owns a border, and it plays a fundamental role for the figure-ground... [more] |
NC2019-86 pp.61-64 |
HIP |
2019-10-31 13:45 |
Kyoto |
Kyoto Terrsa |
Examination of the effect that the vibration motion stimulus in the peripheral field of vision gives to the gaze action Takahiro Ueno, Minoru Nakayama (Tokyo Tech) HIP2019-59 |
Perceptual performances and attentional levels were observed in response to vibration motion stimulus at peripheral visu... [more] |
HIP2019-59 pp.55-60 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 15:30 |
Okinawa |
Okinawa Industry Support Center |
Eye-Gaze Differences and Saliency Prediction Across Different age Groups Onkar Krishna, Kiyoharu Aizawa (Univ. of Tokyo) IMQ2017-37 IE2017-129 MVE2017-79 |
The human visual system has developed the ability to process a scene by selecting the most relevant parts of the scene u... [more] |
IMQ2017-37 IE2017-129 MVE2017-79 pp.67-72 |
HIP |
2017-10-24 09:40 |
Kyoto |
Kyoto Terrsa |
A linear mathematical model of attentional modulation in visual nervous system Akihiro Masaoka, Takeshi Kohama (Kindai Univ.) HIP2017-68 |
In order to elucidate the neural mechanism of the visual attention, we propose a new mathematical model which can be eas... [more] |
HIP2017-68 pp.53-56 |
HIP |
2017-10-24 10:00 |
Kyoto |
Kyoto Terrsa |
Scan path simulation in free-viewing condition based on a probabilistic saliency map model Tomoya Okazaki, Takeshi Kohama (Kindai Univ.) HIP2017-69 |
Recently, saliency based mathematical models are frequently used to predict observers' gaze shifts. Although these model... [more] |
HIP2017-69 pp.57-60 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2017-06-24 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Reinforcement learning for visual attention with scalable size of attentional field Yutaro Murata, Jun-nosuke Teramae, Naoki Wakamiya (Osaka Univ.) NC2017-18 |
Humans percept visual scenes with focusing only on significant parts of visual scenes sequentially rather
process whole... [more] |
NC2017-18 pp.121-125 |
MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-07 09:30 |
Fukuoka |
Kyusyu Univ. Ohashi Campus |
Effect of target visibility on eye movement during object recognition task Sakaguchi Hideho (NAIST/ATR), Utsumi Akira (ATR), Susami Kenji (ATR/Kinki University), Tadahisa Kondo (Kogakuin University), Kambara Makayuki (NAIST/ATR), Hagita Norihiro (ATR/NAIST) IMQ2016-41 IE2016-156 MVE2016-64 |
We conducted an experiment to track eye movements during moving target observation. In this report, we describe the rela... [more] |
IMQ2016-41 IE2016-156 MVE2016-64 pp.131-135 |
PRMU, IPSJ-CVIM, MVE [detail] |
2017-01-19 14:00 |
Kyoto |
|
[Fellow Memorial Lecture]
Yuichi Nakamura (Kyoto Univ.) PRMU2016-131 MVE2016-22 |
Physical models, perceptual models, and social models of humans are essential for observing humans, and modeling process... [more] |
PRMU2016-131 MVE2016-22 pp.83-87 |