Asako Kanezaki

J-GLOBAL         Last updated: Jun 6, 2019 at 18:49
 

Awards & Honors

 
Sep 2015
Young Investigation Excellence Award, The Robotics Society of Japan
 
Apr 2014
Encouraging Prize of Funai Foundation for Information Technology, Funai Foundation for Information Technology
 
Sep 2012
Encouraging Prize, IEICE Technical Committee on Pattern Recognition and Media Understanding (PRMU)
 
May 2010
High-speed 3D Object Recognition Using Additive Features in A linear Subspace, IEEE Robotics and Automation Society Japan Chapter Young Award (ICRA 2010), IEEE
 

Published Papers

 
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Nevrez Imamoglu, Guanqun Ding, Yuming Fang, Asako Kanezaki, Toru Kouyama, and Ryosuke Nakamura
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)      Apr 2019   [Refereed]
Asako Kanezaki, Yasuyuki Matsushita, Yoshifumi Nishida
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)      Jun 2018   [Refereed]
藤橋一輝, 木村雅之, 金崎朝子, 小澤順
人工知能学会全国大会論文集(CD-ROM)   32nd(0) ROMBUNNO.4M2.04-4M204   2018
<p>We propose a semi-supervised method for estimating the number and locations of products in pictures. Many existing approaches can estimate objects locations in images by supervised learning which needs images annotated with objects locations. O...
Nevrez Imamoglu,Wataru Shimoda,Chi Zhang,Yuming Fang,Asako Kanezaki,Keiji Yanai,Yoshifumi Nishida
CoRR   abs/1807.01532    2018   [Refereed]
Asako Kanezaki
2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018   1543-1547   Apr 2018   [Refereed]
Mikiko Oono,Yoshifumi Nishida,Array,Asako Kanezaki,Tatsuhiro Yamanaka
Proceedings of the 10th International Conference on Computer Supported Education, CSEDU 2018, Funchal, Madeira, Portugal, March 15-17, 2018, Volume 2.   361-368   2018   [Refereed]
Array,Wataru Shimoda,Chi Zhang,Yuming Fang,Asako Kanezaki,Keiji Yanai,Yoshifumi Nishida
Signal, Image and Video Processing   12(2) 307-314   2018   [Refereed]
Array,Jirou Nitta,Array
IEEE Robotics and Automation Letters   3(2) 696-703   Apr 2018   [Refereed]
Hirokatsu Kataoka,Soma Shirakabe,Yun He,Shunya Ueta,Teppei Suzuki,Kaori Abe,Asako Kanezaki,Shinichiro Morita,Toshiyuki Yabe,Yoshihiro Kanehara,Hiroya Yatsuyanagi,Shinya Maruyama,Ryousuke Takasawa,Masataka Fuchida,Yudai Miyashita,Kazushige Okayasu,Yuta Matsuzaki
CoRR   abs/1707.06436    Jul 2017   [Refereed]
The paper gives futuristic challenges disscussed in the cvpaper.challenge. In
2015 and 2016, we thoroughly study 1,600+ papers in several
conferences/journals such as CVPR/ICCV/ECCV/NIPS/PAMI/IJCV.
Ryohei Kuga,Asako Kanezaki,Masaki Samejima,Yusuke Sugano,Yasuyuki Matsushita
2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017   403-411   2017   [Refereed]
Manolis Savva,Fisher Yu,Hao Su,Asako Kanezaki,Takahiko Furuya,Ryutarou Ohbuchi,Zhichao Zhou,Rui Yu,Song Bai,Xiang Bai,Masaki Aono,Atsushi Tatsuma,Spyridon Thermos,Apostolos Axenopoulos,Georgios Th. Papadopoulos,Petros Daras,Xiao Deng,Zhouhui Lian,Bo Li 0013,Henry Johan,Yijuan Lu,Sanjeev Mk
Eurographics Workshop on 3D Object Retrieval, 3DOR 2017, Lyon, France, April 23-24, 2017      2017   [Refereed]
Binh-Son Hua,Quang-Trung Truong,Minh-Khoi Tran,Quang-Hieu Pham,Asako Kanezaki,Tang Lee,HungYueh Chiang,Winston Hsu,Bo Li 0013,Yijuan Lu,Henry Johan,Shoki Tashiro,Masaki Aono,Minh-Triet Tran,Viet-Khoi Pham,Hai-Dang Nguyen,Vinh-Tiep Nguyen,Quang-Thang Tran,Thuyen V. Phan,Bao Truong,Minh N. Do,Anh Duc Duong,Lap-Fai Yu,Duc Thanh Nguyen,Sai-Kit Yeung
Eurographics Workshop on 3D Object Retrieval, 3DOR 2017, Lyon, France, April 23-24, 2017      2017   [Refereed]
西田佳史, 北村光司, 佐々木洋子, 金崎朝子, SHI Boxin, 大野美喜子, 楠本欣司
計測自動制御学会システムインテグレーション部門講演会(CD-ROM)   17th ROMBUNNO.3K4‐5   Dec 2016
Asako Kanezaki
CoRR   abs/1603.06208    2016   [Refereed]
Tomoaki Saito,Asako Kanezaki,Tatsuya Harada
IEEE International Conference on Multimedia and Expo, ICME 2016, Seattle, WA, USA, July 11-15, 2016   1-6   2016   [Refereed]
Katsunori Ohnishi,Atsushi Kanehira,Asako Kanezaki,Tatsuya Harada
2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016   3103-3111   2016   [Refereed]
金崎朝子
ViEWビジョン技術の実利用ワークショップ講演論文集(CD-ROM)   2015 ROMBUNNO.OS5‐O1   2015
Katsunori Ohnishi,Atsushi Kanehira,Asako Kanezaki,Tatsuya Harada
CoRR   abs/1511.06783    2015   [Refereed]
Chie Kamada,Asako Kanezaki,Tatsuya Harada
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26 - 30, 2015   1131-1134   2015   [Refereed]
Asako Kanezaki,Tatsuya Harada
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015, Hamburg, Germany, September 28 - October 2, 2015   82-87   2015   [Refereed]
金崎朝子, RODOLA Emanuele, CREMERS Daniel, 原田達也
電子情報通信学会技術研究報告   114(230(PRMU2014 54-64)) 13-18   Oct 2014
金崎朝子, RODOLA Emanuele, 原田達也
日本ロボット学会学術講演会予稿集(CD-ROM)   32nd ROMBUNNO.3I2-03   Sep 2014
Masaru Mizuochi, Asako Kanezaki, Tatsuya Harada
MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia   1165-1168   Jan 2014
Recently, the online shopping market has been expanded, which has advanced studies of clothing retrieval via image search. For this study, we develop a novel clothing retrieval system considering local similarity, where users can retrieve their de...
Sho Inaba,Asako Kanezaki,Tatsuya Harada
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03 - 07, 2014   1149-1152   Jan 2014   [Refereed]
Text is one of the simplest way to express one's idea, and an image is one of the most impactive way to do so. Therefore, if a system can synthesize an image from text without direct user manipulation, novel image synthesis applications will be op...
Asako Kanezaki,Sho Inaba,Yoshitaka Ushiku,Yuya Yamashita,Hiroshi Muraoka,Yasuo Kuniyoshi,Tatsuya Harada
2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014   3066-3073   Jan 2014   [Refereed]
© 2014 IEEE. We propose an efficient method to train multiple object detectors simultaneously using a large scale image dataset. The one-vs-all approach that optimizes the boundary between positive samples from a target class and negative samples ...
Asako Kanezaki,Yusuke Mukuta,Tatsuya Harada
2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, October 27-30, 2014   1594-1598   Jan 2014   [Refereed]
© 2014 IEEE. Histogram of Oriented Gradients (HOG) [1] descriptors have been widely used for object detection. An important limitation is that these descriptors tend to vary considerably when objects are horizontally flipped, as is often the case....
Asako Kanezaki,Array,Daniel Cremers,Tatsuya Harada
2nd International Conference on 3D Vision, 3DV 2014, Tokyo, Japan, December 8-11, 2014, Volume 1   114(230) 720-727   Oct 2014   [Refereed]
We propose an optimization method for estimating parameters in graph-theoretical formulations of the matching problem for object detection. Unlike several methods which optimize parameters for graph matching in a way to promote correct corresponde...
Zoltan-Csaba Marton,Ferenc Balint-Benczedi,Array,Nico Blodow,Asako Kanezaki,Lucian Cosmin Goron,Dejan Pangercic,Array
Journal of Intelligent and Robotic Systems   76(1) 35-56   Jan 2014   [Refereed]
© 2014, Springer Science+Business Media Dordrecht. This paper presents an approach for 3D geometry-based object categorization in cluttered table-top scenes. In our method, objects are decomposed into different geometric parts whose spatial arrang...
Asako Kanezaki, Yasuo Kuniyoshi, Tatsuya Harada
MM 2013 - Proceedings of the 2013 ACM Multimedia Conference   605-608   Nov 2013
We propose a weakly-supervised learning method for object detection using color and depth images of a real environment attached with object labels. The proposed method applies Multiple Instance Learning to find proper instances of the objects in t...
KANEZAKI Asako, INABA Sho, USHIKU Yoshitaka, YAMASHITA Yuya, MURAOKA Hiroshi, HARADA Tatsuya, KUNIYOSHI Yasuo
電子情報通信学会技術研究報告 : 信学技報   112(198) 105-112   Sep 2012
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The one-vs-all approach that optimizes the boundary between positive samples from a target class and negative samples from the othe...
KANEZAKI Asako, INABA Sho, USHIKU Yoshitaka, YAMASHITA Yuya, MURAOKA Hiroshi, HARADA Tatsuya, KUNIYOSHI Yasuo
Technical report of IEICE. PRMU   112(197) 105-112   Sep 2012
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The one-vs-all approach that optimizes the boundary between positive samples from a target class and negative samples from the othe...
金崎朝子, 稲葉翔, 牛久祥孝, 山下裕也, 村岡宏是, 原田達也, 國吉康夫
電子情報通信学会技術研究報告   112(197(PRMU2012 30-50)) 105-112   Aug 2012
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset.The one-vs-all approach that optimizes the boundary between positive samples from a target class and negative samples from the other...
Asako Kanezaki, Takahiro Suzuki, Tatsuya Harada, Yasuo Kuniyoshi
Proceedings - IEEE International Conference on Robotics and Automation   4026-4033   Dec 2011
Realizing automatic object search by robots in an indoor environment is one of the most important and challenging topics in mobile robot research. If the target object does not exist in a nearby area, the obvious strategy is to go to the area in w...
Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi
Proceedings of the IEEE International Conference on Computer Vision   617-624   Dec 2011
We propose a joint learning method for object classification and localization using 3D color texture features and geometry-based segmentation from weakly-labeled 3D color datasets. Recently, new consumer cameras such as Microsoft's Kinect produce ...
Voxelized Shape and Color Histograms for RGB-D
Asako Kanezaki, Zoltan-Csaba Marton, Dejan Pangercic, Tatsuya Harada, Yasuo Kuniyoshi, and Michael Beetz
IEEE IROS Workshop on Active Semantic Perception and Object Search in the Real World (ASP-AVS-11)      Sep 2011   [Refereed]
Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi
Visual Computer   26 1269-1281   Oct 2010
In recent years, the need for retrieving real 3D objects has grown significantly. However, various important considerations must be taken into account to solve the real 3D object retrieval problem. Three-dimensional models obtained without the use...
Asako Kanezaki, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
Proceedings - IEEE International Conference on Robotics and Automation   3128-3134   Aug 2010
In this paper we propose a method of high-speed 3D object recognition using linear subspace method and our 3D features. This method can be applied to partial models with any size in any posture. Although it is becoming easy to obtain textured 3D m...
A. Kanezaki, T. Harada, Y. Kuniyoshi
Eurographics Workshop on 3D Object Retrieval, EG 3DOR   9-12   Dec 2009
In recent years the need for the retrieval of real 3D objects is growing more and more. However, if the 3D models are obtained without the use of special equipment such as engineered environments or multi-camera systems, they are often incomplete,...
金崎朝子, 原田達也, 國吉康夫
電子情報通信学会技術研究報告   109(306(PRMU2009 94-133)) 207-212   Nov 2009
As a previous work, we proposed a method of high-speed 3D object recognition using linear subspace method and our 3D features. This method enables matching of 3D models in a database and partial models with any size in any posture in a 3D scene, w...
原田達也, 金崎朝子, 國吉康夫
日本ロボット学会誌   27(7) 749-758   Sep 2009
We present a new feature &ldquo;Color Cubic Higher-order Auto-Correlation (Color CHLAC) features&rdquo; to recognize objects in the real world versatilely and robustly. The new features satisfy the necessary functions for the exploration of object...
金崎朝子, 原田達也, 國吉康夫
日本ロボット学会学術講演会予稿集(CD-ROM)   26th ROMBUNNO.1L3-06   Sep 2008

Misc

 
舩冨 卓哉, 石井 雅人, 井上 中順, 金崎 朝子, 高橋 康輔, 道満 恵介, 吉岡 隆宏
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   116(412) 283-290   Jan 2017
舩冨 卓哉, 石井 雅人, 井上 中順, 金崎 朝子, 高橋 康輔, 道満 恵介, 吉岡 隆宏
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   116(411) 283-290   Jan 2017