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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2020-12-17 14:40 |
Online | Online | Belonging Network
-- Few-shot One-class Image Classification for Classes with Various Distributions -- Takumi Ohkuma, Hideki Nakayama (UT)  PRMU2020-44 |
Few-shot one-class image classification is the task of recognizing a particular class while rejecting test images that d... [more] | PRMU2020-44 pp.36-41 |
| MI | 2019-01-22 14:50 |
Okinawa | [Short Paper]
Towards Annotating Less Medical Images:
-- PGGAN-based MR Image Augmentation for Brain Tumor Detection -- Changhee Han (UTokyo), Hideaki Hayashi (Kyushu Univ.), Leonardo Rundo (Univ. Cambridge), Ryosuke Araki (Chubu Univ.), Yudai Nagano (UTokyo), Yujiro Furukawa (Kanto Rosai Hosp.), Giancarlo Mauri (Univ. Milano-Bicocca), Hideki Nakayama (UTokyo) MI2018-82 |
How can we tackle the lack of available annotated medical image data through Data Augmentation (DA) techniques for accur... [more] | MI2018-82 pp.93-94 |
|
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
CNN's Robustness Against Large Scale Dataset Ryuichiro Hataya, Hideki Nakayama (UTokyo) IBISML2018-56 |
(To be available after the conference date) [more] | IBISML2018-56 pp.91-98 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:45 |
Okinawa | [Short Paper]
Prostate Zonal Segmentation Using Deep Learning Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Hideki Nakayama (Univ. of Tokyo), Leonardo Rundo (Milano-Bicocca Univ.) MI2017-86 |
Prostate cancer is the second most common cancer among men and segmenting the Transition Zone (TZ) and Peripheral Zone (... [more] | MI2017-86 pp.69-70 |
|
| SP, IPSJ-SLP (Joint) |
2015-07-17 10:10 |
Nagano | Katakura Suwako Hotel | [Invited Talk]
Image feature extraction and transfer learning using deep convolutional neural networks Hideki Nakayama (Univ. of Tokyo) SP2015-45 |
Convolutional neural network (CNN) has attracted more and more attention for its remarkable performance in visual recogn... [more] | SP2015-45 pp.55-59 |
| PRMU, CNR | 2015-02-20 14:50 |
Miyagi | Predicting User Demographics and Click Through Rate of Display Ads Applying a Generic Image Recognition Methodology Kohei Yamamoto (The Univ. of Tokyo), Tetsuya Motegi, Yukihiro Tagami, Hayato Kobayashi, Shingo Ono (Yahoo Japan), Hideki Nakayama (The Univ. of Tokyo) PRMU2014-149 CNR2014-64 |
In the field of click-through rate (CTR) prediction of pay per click display ads, the latency and the cold-start problem... [more] | PRMU2014-149 CNR2014-64 pp.179-184 |
|
| PRMU | 2011-02-17 10:00 |
Saitama | Large Scale Image Classification using Metric based on Correlation between Multiple Image Features and Class Labels Yoshitaka Ushiku, Yuya Yamashita, Jun Imura, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.) PRMU2010-208 |
In this paper, we propose a scalable image recognition method for both image classification and image annotation. We fir... [more] | PRMU2010-208 pp.1-6 |
|
| PRMU | 2009-11-26 11:10 |
Ishikawa | Ishikawa Industrial Promotion Center | Semantics-Based Search from Global Features of Web Images and Texts
-- Toward a novel approach to realization of generic image recognition on the Web -- Yoshitaka Ushiku, Hideki Nakayama (Tokyo Univ.), Tatsuya Harada (Tokyo Univ./JST), Yasuo Kuniyoshi (Tokyo Univ.) PRMU2009-100 |
In these days, methods for generic image recognition are actively researched. Many works use web images as training data... [more] | PRMU2009-100 pp.45-50 |
| PRMU | 2007-12-14 11:00 |
Hyogo | Kobe Univ. | Ultra high speed image annotation/retrieval method by learning the conceptual relationship between images and labels Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.), Nobuyuki Otsu (AIST) PRMU2007-147 |
Content-based image recognition and retrieval are challenging problems which have wide application. In this paper, we ... [more] |
PRMU2007-147 pp.65-70 |
| NLP, CAS | 2004-09-13 13:25 |
Kyoto | Kyoto Univ. | Estimation of Interaction in a Gene Network using Expression Times Hideki Nakayama, Hiroto Tanaka, Toshimitsu Ushio (Osaka Univ.) |
In this report, we consider a continuous-time switching network, which is one of gene network models. In this model, Ich... [more] | CAS2004-21 NLP2004-33 pp.3-6 |
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