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Biography

2008 BS of Engineering (The University of Tokyo)
2010 MA of Information Science & Technology (The University of Tokyo)
2010 Visiting Researcher at Intelligent Autonomous Systems Group, TUM
2013 Ph.D. of Information Science & Technology (The University of Tokyo)
2013-2016 Assistant Professor (The University of Tokyo)

Research

3D World Recognition

発表資料

Journal publications

  1. Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Oscar Martinez Mozos, Nico Blodow, Asako Kanezaki, Lucian Cosmin Goron, Dejan Pangercic, and Michael Beetz.
    Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes.
    Journal of Intelligent & Robotic Systems, pp.1-22, 2014.
    http://dx.doi.org/10.1007/s10846-013-0011-8

  2. Asako Kanezaki, Tatsuya Harada, and Yasuo Kuniyoshi.
    Partial Matching of Real Textured 3D Objects Using Color Cubic Higher-order Local Auto-Correlation Features.
    The Visual Computer, Vol.26, No.10, pp.1269-1281, 2010.
    PDF

  3. 原田達也, 金崎朝子, 國吉康夫.
    三次元環境地図からの物体探索タスク応用を目指したカラー立体高次局所自己相関特徴の開発.
    日本ロボット学会誌, Vol.27, No.7, pp.749-758, 2009.

International Conference

  1. Asako Kanezaki, Yasuyuki Matsushita, and Yoshifumi Nishida.
    RotationNet: Joint Learning of Object Classification and Viewpoint Estimation using Unaligned 3D Object Dataset.
    arXiv preprint arXiv:1603.06208, 2016.
    PDF code

  2. Tomoaki Saito, Asako Kanezaki, and Tatsuya Harada.
    IBC127: Video Dataset for Fine-grained Bird Classification.
    IEEE International Conference on Multimedia & Expo (ICME), accepted, 2016.
    Dataset

  3. Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, and Tatsuya Harada.
    Recognizing Activities of Daily Living with a Wrist-mounted Camera.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (spotlight), 2016.
    PDF

  4. Chie Kamada, Asako Kanezaki, and Tatsuya Harada.
    Probabilistic Semi-Canonical Correlation Analysis.
    the 23rd Annual ACM International Conference on Multimedia (ACMMM 2015), pp.1131-1134, 2015.
    PDF

  5. Asako Kanezaki and Tatsuya Harada.
    3D Selective Search for Obtaining Object Candidates.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), pp.82-87, 2015.
    PDF code

  6. Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, and Tatsuya Harada.
    Learning Similarities for Rigid and Non-Rigid Object Detection.
    International Conference on 3D Vision (3DV 2014), pp.720-727, 2014.
    PDF

  7. Sho Inaba, Asako Kanezaki, and Tatsuya Harada.
    Automatic Image Synthesis from Keywords Using Scene Context.
    the 22nd Annual ACM International Conference on Multimedia (ACMMM 2014), pp.1149-1152, 2014.
    PDF

  8. Masaru Mizuochi, Asako Kanezaki, and Tatsuya Harada.
    Clothing Retrieval Based on Local Similarity with Multiple Images.
    the 22nd Annual ACM International Conference on Multimedia (ACMMM 2014), pp.1165-1168, 2014.
    PDF

  9. Asako Kanezaki, Yusuke Mukuta, and Tatsuya Harada.
    Mirror Reflection Invariant HOG descriptors for Object Detection.
    IEEE 21st International Conference on Image Processing (ICIP 2014), pp.1594-1598, 2014.
    PDF

  10. Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Yasuo Kuniyoshi, and Tatsuya Harada.
    Hard Negative Classes for Multiple Object Detection.
    IEEE International Conference on Robotics and Automation (ICRA 2014), pp.3066-3073, 2014.
    PDF

  11. Asako Kanezaki, Yasuo Kuniyoshi, and Tatsuya Harada.
    Weakly-supervised Multi-class Object Detection Using Multi-type 3D Features.
    the 21st Annual ACM International Conference on Multimedia (ACMMM 2013), pp.605-608, 2013.
    PDF Dataset

  12. Asako Kanezaki, Tatsuya Harada, and Yasuo Kuniyoshi.
    Scale and Rotation Invariant Color Features for Weakly-Supervised Object Learning in 3D Space.
    IEEE ICCV Workshop on 3D Representation and Recognition (3dRR-11), 2011.
    PDF

  13. Asako Kanezaki, Zoltan-Csaba Marton, Dejan Pangercic, Tatsuya Harada, Yasuo Kuniyoshi, and Michael Beetz.
    Voxelized Shape and Color Histograms for RGB-D.
    IEEE IROS Workshop on Active Semantic Perception and Object Search in the Real World (ASP-AVS-11), 2011.
    PDF

  14. Asako Kanezaki, Takahiro Suzuki, Tatsuya Harada, and Yasuo Kuniyoshi.
    Fast Object Detection for Robots in a Cluttered Indoor Environment Using Integral 3D Feature Table.
    IEEE International Conference on Robotics and Automation (ICRA 2011), pp.4026-4033, 2011.
    PDF

  15. Asako Kanezaki, Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi.
    High-speed 3D Object Recognition Using Additive Features in A linear Subspace.
    2010 IEEE International Conference on Robotics and Automation (ICRA 2010), pp.3128-3134, 2010.
    2010 IEEE Robotics and Automation Society Japan Chapter Young Award (ICRA 2010)
    PDF

  16. Asako Kanezaki, Tatsuya Harada, and Yasuo Kuniyoshi.
    Partial Matching for Real Textured 3D Objects using Color Cubic Higher-order Local Auto-Correlation Features.
    Eurographics Workshop on 3D Object Retrieval 2009, pp.9-12, 2009.

Domestic Conference

  1. 金崎 朝子.
    三次元情報を活用した物体検出の三手法
    Vision Enginieering Workshop (ViEW), OS5-01, pp.284-287, 2015.

  2. 金崎 朝子, Emanuele Rodolà, 原田 達也.
    グラフマッチング学習を用いたRGB-D画像からの物体検出
    第20回ロボティクスシンポジア, pp.432-437, 2015.

  3. 金崎 朝子, Emanuele Rodolà, Daniel Cremers, 原田 達也.
    対応点集合類似度学習を用いた剛体・非剛体物体検出
    Pattern Recognition and Media Understanding (PRMU), pp.13-18, 2014.

  4. 金崎 朝子, Emanuele Rodolà, 原田 達也.
    RGB-D画像からの物体検出における対応点集合類似度の学習
    the 32th Annual Conference of the Robotics Society of Japan (RSJ), 3I2-03, 2014.
    2015 研究奨励賞.第30回 日本ロボット学会 学術講演会(RSJ)

  5. 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.
    大規模画像データセットを用いたマルチクラス物体検出器の同時学習 〜物体毎に特化した負例クラスの導入〜
    Pattern Recognition and Media Understanding (PRMU), pp.105-112, 2012.
    2012 研究奨励賞. 電子情報通信学会パターン認識・マルチメディア理解研究会 (PRMU)

  6. 金崎 朝子, 原田 達也, 國吉 康夫.
    多種類の三次元特徴量を用いた物体セグメンテーションの弱教師付き学習
    Meeting on Image Recognition and Understandings (MIRU), OS14-03, 2012.

  7. 稲葉 翔, 村岡 宏是, 山下 裕也, 牛久 祥孝, 金崎 朝子, 原田 達也, 國吉 康夫.
    学習時間に着目した効率的な大規模画像分類
    Meeting on Image Recognition and Understandings (MIRU), OS6-03, 2012.

  8. 金崎 朝子, 原田 達也, 國吉 康夫.
    カラー三次元積分特徴と線形部分空間法による実世界からの高速物体検出
    Meeting on Image Recognition and Understandings (MIRU), IS1-59, pp.448-455, 2010.

  9. 金崎 朝子, 原田 達也, 國吉 康夫.
    積分特徴と部分空間法を用いた高速三次元物体認識の実データへの適用
    Pattern Recognition and Media Understanding (PRMU), pp.207-212, 2009.

  10. 金崎 朝子, 中山 英樹, 原田 達也, 國吉 康夫.
    部分空間法とカラー立体高次局所自己相関特徴を用いた高速三次元物体認識
    Meeting on Image Recognition and Understandings (MIRU), OS4-3:103-OS4-3:110, 2009.

  11. 金崎 朝子, 原田 達也, 國吉 康夫.
    三次元環境地図からの物体探索タスク応用を目指したカラー立体高次局所自己相関特徴の開発
    the 26th Annual Conference of the Robotics Society of Japan (RSJ), 1L3-06, 2008.

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