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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:15 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Dynamic Weight Scheduling for Long-tailed Visual Recognition Xinyuan Li (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.)  PRMU2022-78 IBISML2022-85 |
For long-tailed image recognition tasks, re-weighting is effective to alleviate data imbalance by assigning higher weigh... [more] | PRMU2022-78 IBISML2022-85 pp.107-110 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 17:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Evaluation of Spatial Transformer Network with Vision Transformer Yoshiharu Iwasaki (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2022-91 IBISML2022-98 |
Spatial Transformer is a module that performs spatial transformation of input images or the feature maps. In our researc... [more] | PRMU2022-91 IBISML2022-98 pp.163-168 |
| PRMU | 2022-09-15 10:00 |
Kanagawa | (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 pp.49-54 |
| 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 |
| PRMU | 2021-12-16 16:45 |
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 pp.98-100 |
| PRMU | 2021-12-16 17:00 |
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 pp.101-106 |
| PRMU | 2021-12-17 10:45 |
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 pp.113-117 |
| PRMU | 2021-10-09 11:00 |
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 pp.34-39 |
| MVE | 2021-09-17 13:30 |
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 pp.27-32 |
| PRMU | 2020-12-18 15:25 |
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 pp.145-150 |
| PRMU | 2020-12-18 17:15 |
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 pp.172-176 |
| PRMU, IPSJ-CVIM | 2020-05-14 13:30 |
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 pp.13-17 |
| PRMU, IPSJ-CVIM | 2020-05-15 09:35 |
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 pp.23-28 |
| PRMU, IPSJ-CVIM | 2020-03-16 17:00 |
Kyoto | (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 pp.109-114 |
| PRMU, IPSJ-CVIM | 2020-03-17 15:30 |
Kyoto | (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 pp.191-195 |
| PRMU, BioX | 2018-03-18 16:10 |
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 pp.97-102 |
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| PRMU, BioX | 2018-03-18 16:45 |
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 pp.115-119 |
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| PRMU | 2017-12-17 10:30 |
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 pp.13-17 |
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| PRMU | 2017-12-17 11:00 |
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 pp.19-24 |
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| PRMU | 2017-12-17 16:30 |
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 pp.59-63 |
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