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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-09-15
(Primary: On-site, Secondary: Online)
One-cut Network Pruning at Initialization with Explainable Image Concepts
Yinan Yang (Rits Univ.), Ying Ji (Nagoya Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Rits Univ.) PRMU2022-18
Recent research investigates the feasibility of one-cut network pruning at initialization (OPAI). SNIP and GraSP are tw... [more] PRMU2022-18
PRMU 2022-09-15
(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
PRMU 2021-12-16
Online Online Supervoxel-based Explanation for Action Recognition
Ying Ji (Nagoya Univ.), Yu Wang (Ritsumeikan Univ.), Kensaku Mori (Nagoya Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2021-42
Deep neural network has shown remarkable performance in various areas, including image classification, action recognitio... [more] PRMU2021-42
PRMU 2021-12-16
Online Online Evaluation of CNNs with Narrow Receptive Fields in Crowd Counting
Junya Uchida, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2021-43
Density map estimation for crowd counting means to estimate the number of people by regressing a two-dimensional density... [more] PRMU2021-43
PRMU 2021-12-17
Online Online Analysis of Recognition Grounds of Models for Social Relationship Recognition Using Spatial-temporal TCAV
Runa Sugiyama (Ritsumeikan Univ.), Ying JI (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2021-45
Social relationships between people in videos are difficult to recognize with high accuracy using traditional methods. I... [more] PRMU2021-45
PRMU 2021-10-09
Online Online Road Damage Detection Using Global and Local Features
Jinhong Yu, Yu Wang, Jien Kato (Rits Univ.) PRMU2021-22
In this paper, we propose a road damage detection method called Global-Local Faster CNN to deal with the issue of big va... [more] PRMU2021-22
MVE 2021-09-17
Online Online Distracted Driving Classification with Multi-task Learning
Dichao Liu (NU), Xueting Wang, Toshihiko Yamasaki (Univ.Tokyo), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) MVE2021-13
 [more] MVE2021-13
PRMU 2020-12-18
Online Online Multi-Task Attention Learning for Fine-grained Recognition
Dichao Liu (NU), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) PRMU2020-63
Due to its inter-class similarity and intra-class variation, Fine-Grained Image Classification (FGIC) is an intrinsicall... [more] PRMU2020-63
PRMU 2020-12-18
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
PRMU, IPSJ-CVIM 2020-05-14
Online Online Human Action Recognition with Two-stream 3D BagNet
Junya Uchida, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2020-3
We propose the Two-stream 3D BagNet for the human action recognition task. The proposed architecture is inspired by the ... [more] PRMU2020-3
PRMU, IPSJ-CVIM 2020-05-15
Online Online Atmosphere Estimation in Conversation Scenes with Social Relations
Runa Sugiyama, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2020-5
The objective of this work is to estimate the atmosphere of the conversation scenes. Because the atmosphere is a subject... [more] PRMU2020-5
PRMU, IPSJ-CVIM 2020-03-16
(Cancelled but technical report was issued)
Continuous Variables Estimation Through Classification Networks Ensembles
Qianyuan Liu (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2019-87
With the development of deep learning, CNNs have shown outstanding performance on various tasks. Previous approaches fin... [more] PRMU2019-87
PRMU, IPSJ-CVIM 2020-03-17
(Cancelled but technical report was issued)
Pedestrian Detection using Wide and Narrow Area Networks
Misaki Kodaira (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2019-96
 [more] PRMU2019-96
PRMU, BioX 2018-03-18
Tokyo   Pedestrian Detection with Multi-level Deep Features
Misaki Kodaira, Yu Wang, Jien Kato (Nagoya Univ.) BioX2017-52 PRMU2017-188
In this research, we aim to clarify effective application of CNN features in pedestrian detection. In the experiment, fe... [more] BioX2017-52 PRMU2017-188
PRMU, BioX 2018-03-18
Tokyo   Image Retrieval with Augmented Fine-tuned CNN Features
Zhao Longjiao, Yu Wang, Jien Kato (Nagoya Univ.) BioX2017-55 PRMU2017-191
Recently, pre-trained CNN features have shown a good performance on the content-based image retrieval task. In this pape... [more] BioX2017-55 PRMU2017-191
PRMU 2017-12-17
Kanagawa   Hierarchical Multi-stream STNs for Fine-grained Action Recognition
Dichao Liu, Yu Wang, Jien Kato (Nagoya Univ.) PRMU2017-103
Fine-grained action recognition is a difficult problem mainly because that the discriminative information is usually ver... [more] PRMU2017-103
PRMU 2017-12-17
Kanagawa   BOJ253 -- A Large-scale Dataset for Butterfly Recognition --
Ruisheng Qin, Yu Wang, Jien Kato (Nagoya Univ.) PRMU2017-104
The purpose of this paper is to introduce a large-scale butterflies’ image dataset for butterfly recognition. The datase... [more] PRMU2017-104
PRMU 2017-12-17
Kanagawa   Estimation of cumbersome situation using in-vehicle camera image and Liders data
Hiroki Mitsui, Yu Wang, Jien Kato (Nagoya Univ.) PRMU2017-110
In recent years, researches have been actively conducted to assist driving and driving of cars, including detection of p... [more] PRMU2017-110
PRMU, CNR 2017-02-18
Hokkaido   Fine-grained Pedestrian Classification by Fusing Multiple CNN Models
Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-166 CNR2016-33
Fine-grained categories of pedestrians lead to higher level understanding on pedestrians as well as their activities, th... [more] PRMU2016-166 CNR2016-33
PRMU, CNR 2017-02-18
Hokkaido   Part-aware CNN for Pedestrian Detection
Cong Cao, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-167 CNR2016-34
Pedestrian detection is a significant task in computer vision. In recent years, it is widely used in the applications su... [more] PRMU2016-167 CNR2016-34
 Results 1 - 20 of 34  /  [Next]  
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