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Biography

Research

Book chapters

  1. Asako Kanezaki, Ryohei Kuga, Yusuke Sugano, and Yasuyuki Matsushita (Chapter authors).
    Chapter 2: "Multimodal Scene Understanding: Algorithms, Applications and Deep Learning."
    Elsevier, August, 2019. (525 pages)
    LINK

Journal publications

  1. Kei Ota, Devesh K. Jha, and Asako Kanezaki.
    A Framework for Training Larger Networks for Deep Reinforcement Learning.
    Machine Learning, Springer, 2024.
    https://doi.org/10.1007/s10994-024-06547-6

  2. Yuzhe Hao, Asako Kanezaki, Ikuro Sato, Rei Kawakami, and Koichi Shinoda.
    Egocentric Human Activities Recognition with Multi-modal Interaction Sensing.
    IEEE Sensors, accepted, 2024.

  3. Haruyuki Nakagawa and Asako Kanezaki.
    Multi-Agent Visual Coordination using Optical Wireless Communication.
    IEEE Robotics and Automation Letters (RA-L), accepted, 2023.
    https://doi.org/10.1109/LRA.2023.3304905

  4. Hao Zheng, Qiang Zhang, and Asako Kanezaki.
    DAC: Disentanglement-and-Calibration Module for Cross-Domain Few-Shot Classification.
    IEEE Access, Vol. 11, No. 23552466, pp. 82665-82673, 2023.
    https://doi.org/10.1109/ACCESS.2023.3294984

  5. Asako Kanezaki, Yasuyuki Matsushita, and Yoshifumi Nishida.
    RotationNet for Joint Object Categorization and Unsupervised Pose Estimation from Multi-view Images.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.43, Issue 1, pp. 269-283, 2021.
    https://doi.org/10.1109/TPAMI.2019.2922640  
    Project

  6. Wonjik Kim*, Asako Kanezaki*, and Masayuki Tanaka.
    Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering.
    IEEE Transactions on Image Processing, pp. 8055-8068, 2020.
    *equal contributions
    Project

  7. Raphael Druon, Yusuke Yoshiyasu, Asako Kanezaki, and Alassane Watt.
    Visual Object Search by Learning Spatial Context.
    IEEE Robotics and Automation Letters (RA-L), Vol.5, Issue 2, pp. 1279-1286, 2020. (presented in ICRA'20)
    https://doi.org/10.1109/LRA.2020.2967677

  8. Asako Kanezaki, Jirou Nitta, and Yoko Sasaki.
    GOSELO: Goal-Directed Obstacle and Self-Location Map for Robot Navigation using Reactive Neural Networks.
    IEEE Robotics and Automation Letters (RA-L), Vol.3, Issue 2, pp. 696-703, 2018. (presented in ICRA'18)
    https://doi.org/10.1109/LRA.2017.2783400  
    Project

  9. Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, and Yoshifumi Nishida.
    An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness.
    Signal, Image and Video Processing (Springer), Vol.12, Issue 2, pp. 307-314, 2017.
    https://doi.org/10.1007/s11760-017-1159-7

  10. 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. 35-56, 2014.
    http://dx.doi.org/10.1007/s10846-013-0011-8

  11. 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.
    https://doi.org/10.1007/s00371-010-0521-3

  12. Tatsuya Harada, Asako Kanezaki, and Yasuo Kuniyoshi.
    The Development of Color CHLAC Features for Object Exploration in 3D Map.
    Journal of the Robotics Society of Japan, Vol.27, No.7, pp. 749-758, 2009. (in Japanese)

International Conference

  1. Yuchen Che, Ryo Furukawa, and Asako Kanezaki.
    OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation.
    The 18th European Conference on Computer Vision (ECCV), accepted (oral), 2024.
    Paper   Code

  2. Yunyi Guan and Asako Kanezaki.
    Active Object Recognition with Trained Multi-view Based 3D Object Recognition Network.
    2nd IEEE International Conference on Robotics and Automation (ICRA) Workshop on Mobile Manipulation and Embodied Intelligence, 2024.
    Paper

  3. Carlos Gutierrez-Alvarez, Rafael Flor-Rodríguez-Rabadán, Asako Kanezaki, and Roberto Javier López-Sastre.
    OffNav: Offline Reinforcement Learning for Visual Semantic Navigation.
    IEEE International Conference on Robotics and Automation (ICRA) Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots, 2024.
    Paper

  4. Kei Ota, Devesh Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, and Joshua B. Tenenbaum.
    Tactile Estimation of Extrinsic Contact Patch for Stable Placement.
    IEEE International Conference on Robotics and Automation (ICRA), accepted, 2024.
    Paper

  5. Haruyuki Nakagawa, Yoshitaka Miyatani, and Asako Kanezaki.
    Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras.
    Int. Joint Conf. on Autonomous Agents & Multiagent Systems (AAMAS), accepted, 2024.
    Paper

  6. Haru Kondoh and Asako Kanezaki.
    Multi-goal Audio-visual Navigation using Sound Direction Map.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2023.
    Paper

  7. Nanami Kotani and Asako Kanezaki.
    Point Anywhere: Directed Object Estimation from Omnidirectional Images.
    Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters (SIGGRAPH '23 Posters), accepted, 2023.
    Paper   Dataset

  8. Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, and Asako Kanezaki.
    Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array.
    6th CVPR Workshop on Multimodal Learning and Applications (MULA), accepted, 2023.
    Dataset

  9. Hao Zheng, Runqi Wang, Jianzhuang Liu, and Asako Kanezaki.
    Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification.
    International Conference on Learning Representations (ICLR), accepted, 2023.
    Paper   Code

  10. Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, and Joshua B. Tenenbaum.
    H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions.
    IEEE International Conference on Robotics and Automation (ICRA), accepted, 2023.
    Paper

  11. Yuzhe Hao, Kuniaki Uto, Asako Kanezaki, Ikuro Sato, Rei Kawakami, and Koichi Shinoda.
    EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor data.
    Multimedia Modeling (MMM), accepted, 2023.

  12. Hana Hoshino, Kei Ota, Asako Kanezaki, and Rio Yokota.
    OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching.
    IEEE International Conference on Robotics and Automation (ICRA), accepted, 2022.
    Paper   Code

  13. Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, and Yusuke Yoshiyasu.
    Object Memory Transformer for Object Goal Navigation.
    IEEE International Conference on Robotics and Automation (ICRA), accepted, 2022.
    Paper   Code

  14. Keisuke Okumura, Ryo Yonetani, Mai Nishimura, and Asako Kanezaki.
    CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces.
    Int. Joint Conf. on Autonomous Agents & Multiagent Systems (AAMAS), accepted, 2022.
    Project   Paper   Code

  15. Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, and Asako Kanezaki.
    Path Planning using Neural A* Search.
    International Conference on Machine Learning (ICML), pp. 12029-12039, 2021.
    Project   Paper

  16. Takashi Konno, Ayako Amma, and Asako Kanezaki.
    Incremental Multi-view Object Detection from a Moving Camera.
    ACM Multimedia Asia (ACMMMA), pp. 1-7, 2020.
    Project

  17. Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski.
    Deep Reactive Planning in Dynamic Environments.
    The Conference on Robot Learning (CoRL), 2020.
    Paper   YouTube

  18. Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, and Asako Kanezaki.
    Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), pp. 6061-6068, 2020.
    Paper

  19. Yoko Sasaki, Syusuke Matsuo, Asako Kanezaki, and Hiroshi Takemura.
    A3C Based Motion Learning for an Autonomous Mobile Robot in Crowds.
    IEEE International Conference on System Man and Cybernetics (SMC2019), pp. 1046-1052, 2019.

  20. Nevrez Imamoglu, Guanqun Ding, Yuming Fang, Asako Kanezaki, Toru Kouyama, and Ryosuke Nakamura.
    Salient object detection on hyperspectral images using features learned from unsupervised segmentation task.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2192-2196, 2019.
    Paper

  21. Asako Kanezaki, Yasuyuki Matsushita, and Yoshifumi Nishida.
    RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5010-5019, 2018.
    Project

  22. Asako Kanezaki.
    Unsupervised Image Segmentation by Backpropagation.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1543-1547, 2018.
    Project

  23. Mikiko Oono, Yoshifumi Nishida, Koji Kitamura, Asako Kanezaki, and Tatsuhiro Yamanaka.
    "Change the changeable" framework for implementation research in health.
    the 10th International Conference on Computer Supported Education (CSEDU), (oral), 2017.

  24. Ryohei Kuga, Asako Kanezaki, Masaki Samejima, Yusuke Sugano, and Yasuyuki Matsushita.
    Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections.
    IEEE/ISPRS 4th Joint Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, pp. 403-411, (oral), 2017.
    https://doi.org/10.1109/ICCVW.2017.54  
    Paper

  25. Manolis Savva, Fisher Yu, Hao Su, Asako Kanezaki, Takahiko Furuya, Ryutarou Ohbuchi, Zhichao Zhou, Rui Yu, Song Bai, Xiang Bai, Masaki Aono, Atsushi Tatsuma, S. Thermos, A. Axenopoulos, G. Th. Papadopoulos, P. Daras, Xiao Deng, Zhouhui Lian, Bo Li, Henry Johan, Yijuan Lu, and Sanjeev Mk.
    SHREC'17 Track: Large-Scale 3D Shape Retrieval from ShapeNet Core55.
    Eurographics Workshop on 3D Object Retrieval 2017, 2017.
    Paper

  26. Binh-Son Hua, Quang-Trung Truong, Minh-Khoi Tran, Quang-Hieu Pham, Asako Kanezaki, Tang Lee, HungYueh Chiang, Winston Hsu, Bo Li, 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, and Sai-Kit Yeung.
    SHREC'17: RGB-D to CAD Retrieval with ObjectNN Dataset.
    Eurographics Workshop on 3D Object Retrieval 2017, 2017.
    Paper

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

  28. 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.
    Project

  29. 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.

  30. 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.
    Paper   Code

  31. 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.
    Paper

  32. 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.

  33. 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.

  34. 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.
    Paper

  35. 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.
    Paper

  36. 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.
    Paper   Dataset

  37. 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.
    Paper

  38. 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.
    Paper

  39. 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.
    Paper

  40. 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)
    Paper

  41. 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.

Awards

Grants/Fellowships


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