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2020 – today
- 2024
[j10]Kei Ota
, Devesh K. Jha, Asako Kanezaki:
A framework for training larger networks for deep Reinforcement learning. Mach. Learn. 113(9): 6115-6139 (2024)- [c38]Haruyuki Nakagawa, Yoshitaka Miyatani, Asako Kanezaki:
Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras. AAMAS 2024: 1436-1444 - [c37]Yuchen Che, Ryo Furukawa, Asako Kanezaki:
OP-Align: Object-Level and Part-Level Alignment for Self-supervised Category-Level Articulated Object Pose Estimation. ECCV (75) 2024: 72-88 - [c36]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA 2024: 13876-13882 - [i22]Haruyuki Nakagawa, Yoshitaka Miyatani, Asako Kanezaki:
Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras. CoRR abs/2402.05619 (2024) - [i21]Leyuan Sun, Asako Kanezaki, Guillaume Caron, Yusuke Yoshiyasu:
Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation. CoRR abs/2403.14163 (2024) - [i20]Koji Takeda, Kanji Tanaka, Yoshimasa Nakamura, Asako Kanezaki:
Zero-shot Degree of Ill-posedness Estimation for Active Small Object Change Detection. CoRR abs/2405.06185 (2024) - [i19]Yuchen Che, Ryo Furukawa, Asako Kanezaki:
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation. CoRR abs/2408.16547 (2024) - 2023
- [j9]Hao Zheng, Qiang Zhang, Asako Kanezaki:
DAC: Disentanglement-and-Calibration Module for Cross-Domain Few-Shot Classification. IEEE Access 11: 82665-82673 (2023) - [j8]Haruyuki Nakagawa, Asako Kanezaki:
Multi-Agent Visual Coordination Using Optical Wireless Communication. IEEE Robotics Autom. Lett. 8(11): 7857-7864 (2023) - [c35]Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki:
Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array. CVPR Workshops 2023: 2566-2574 - [c34]Hao Zheng, Runqi Wang, Jianzhuang Liu, Asako Kanezaki:
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification. ICLR 2023 - [c33]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. ICRA 2023: 7272-7278 - [c32]Haru Kondoh, Asako Kanezaki:
Multi-Goal Audio-Visual Navigation Using Sound Direction Map. IROS 2023: 5219-5226 - [c31]Yuzhe Hao, Kuniaki Uto, Asako Kanezaki, Ikuro Sato, Rei Kawakami, Koichi Shinoda:
EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor Data. MMM (1) 2023: 373-384 - [c30]Nanami Kotani, Asako Kanezaki:
Point Anywhere: Directed Object Estimation from Omnidirectional Images. SIGGRAPH Posters 2023: 33:1-33:2 - [i18]Haru Kondoh, Asako Kanezaki:
Multi-goal Audio-visual Navigation using Sound Direction Map. CoRR abs/2308.00219 (2023) - [i17]Nanami Kotani, Asako Kanezaki:
Point Anywhere: Directed Object Estimation from Omnidirectional Images. CoRR abs/2308.01010 (2023) - [i16]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR abs/2309.14552 (2023) - [i15]Hao Zheng, Runqi Wang, Jianzhuang Liu, Asako Kanezaki:
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification. CoRR abs/2311.02392 (2023) - 2022
- [c29]Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki:
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. AAMAS 2022: 972-981 - [c28]Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota:
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. ICRA 2022: 448-454 - [c27]Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu:
Object Memory Transformer for Object Goal Navigation. ICRA 2022: 11288-11294 - [i14]Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki:
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. CoRR abs/2201.09467 (2022) - [i13]Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu:
Object Memory Transformer for Object Goal Navigation. CoRR abs/2203.14708 (2022) - [i12]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR abs/2210.12521 (2022) - 2021
- [j7]Asako Kanezaki, Yasuyuki Matsushita, Yoshifumi Nishida:
RotationNet for Joint Object Categorization and Unsupervised Pose Estimation from Multi-View Images. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 269-283 (2021) - [c26]Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki:
Path Planning using Neural A* Search. ICML 2021: 12029-12039 - [i11]Kei Ota, Devesh K. Jha, Asako Kanezaki:
Training Larger Networks for Deep Reinforcement Learning. CoRR abs/2102.07920 (2021) - [i10]Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota:
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. CoRR abs/2109.04307 (2021) - 2020
- [j6]Raphael Druon, Yusuke Yoshiyasu, Asako Kanezaki, Alassane Watt:
Visual Object Search by Learning Spatial Context. IEEE Robotics Autom. Lett. 5(2): 1279-1286 (2020) - [j5]Wonjik Kim, Asako Kanezaki, Masayuki Tanaka:
Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering. IEEE Trans. Image Process. 29: 8055-8068 (2020) - [c25]Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. CoRL 2020: 1943-1957 - [c24]Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. IROS 2020: 6061-6068 - [c23]Takashi Konno, Ayako Amma, Asako Kanezaki:
Incremental multi-view object detection from a moving camera. MMAsia 2020: 4:1-4:7 - [i9]Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. CoRR abs/2003.01641 (2020) - [i8]Wonjik Kim, Asako Kanezaki, Masayuki Tanaka:
Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering. CoRR abs/2007.09990 (2020) - [i7]Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki:
Path Planning using Neural A* Search. CoRR abs/2009.07476 (2020) - [i6]Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. CoRR abs/2011.00155 (2020)
2010 – 2019
- 2019
- [c22]Nevrez Imamoglu, Guanqun Ding, Y. Fang, Asako Kanezaki, Toru Kouyama, Ryosuke Nakamura:
Salient Object Detection on Hyperspectral Images Using Features Learned from Unsupervised Segmentation Task. ICASSP 2019: 2192-2196 - [c21]Yoko Sasaki, Syusuke Matsuo, Asako Kanezaki, Hiroshi Takemura:
A3C Based Motion Learning for an Autonomous Mobile Robot in Crowds. SMC 2019: 1036-1042 - [i5]Nevrez Imamoglu, Guanqun Ding, Yuming Fang, Asako Kanezaki, Toru Kouyama, Ryosuke Nakamura:
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task. CoRR abs/1902.10993 (2019) - 2018
- [j4]Asako Kanezaki, Jirou Nitta, Yoko Sasaki:
GOSELO: Goal-Directed Obstacle and Self-Location Map for Robot Navigation Using Reactive Neural Networks. IEEE Robotics Autom. Lett. 3(2): 696-703 (2018) - [j3]Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness. Signal Image Video Process. 12(2): 307-314 (2018) - [c20]Mikiko Oono, Yoshifumi Nishida, Koji Kitamura, Asako Kanezaki, Tatsuhiro Yamanaka:
"Change the Changeable" Framework for Implementation Research in Health. CSEDU (2) 2018: 361-368 - [c19]Asako Kanezaki, Yasuyuki Matsushita, Yoshifumi Nishida:
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints. CVPR 2018: 5010-5019 - [c18]Asako Kanezaki:
Unsupervised Image Segmentation by Backpropagation. ICASSP 2018: 1543-1547 - [i4]Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness. CoRR abs/1807.01532 (2018) - 2017
- [c17]Binh-Son Hua, Quang-Trung Truong, Minh-Khoi Tran, Quang-Hieu Pham, Asako Kanezaki, Tang Lee, HungYueh Chiang, Winston H. 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, Sai-Kit Yeung:
RGB-D to CAD Retrieval with ObjectNN Dataset. 3DOR@Eurographics 2017 - [c16]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, Henry Johan, Yijuan Lu, Sanjeev Mk:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2017 - [c15]Ryohei Kuga, Asako Kanezaki, Masaki Samejima, Yusuke Sugano, Yasuyuki Matsushita:
Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections. ICCV Workshops 2017: 403-411 - [i3]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:
cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey. CoRR abs/1707.06436 (2017) - 2016
- [c14]Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada:
Recognizing Activities of Daily Living with a Wrist-Mounted Camera. CVPR 2016: 3103-3111 - [c13]Tomoaki Saito, Asako Kanezaki, Tatsuya Harada:
IBC127: Video dataset for fine-grained bird classification. ICME 2016: 1-6 - [i2]Asako Kanezaki:
RotationNet: Learning Object Classification Using Unsupervised Viewpoint Estimation. CoRR abs/1603.06208 (2016) - 2015
- [c12]Asako Kanezaki, Tatsuya Harada:
3D Selective Search for obtaining object candidates. IROS 2015: 82-87 - [c11]Chie Kamada, Asako Kanezaki, Tatsuya Harada:
Probabilistic Semi-Canonical Correlation Analysis. ACM Multimedia 2015: 1131-1134 - [i1]Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada:
Recognizing Activities of Daily Living with a Wrist-mounted Camera. CoRR abs/1511.06783 (2015) - 2014
- [j2]Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Óscar Martínez Mozos, Nico Blodow, Asako Kanezaki, Lucian Cosmin Goron, Dejan Pangercic, Michael Beetz:
Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes - Paper Type: Categories (7) and (5). J. Intell. Robotic Syst. 76(1): 35-56 (2014) - [c10]Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada:
Learning Similarities for Rigid and Non-rigid Object Detection. 3DV 2014: 720-727 - [c9]Asako Kanezaki, Yusuke Mukuta, Tatsuya Harada:
Mirror reflection invariant HOG descriptors for object detection. ICIP 2014: 1594-1598 - [c8]Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Yasuo Kuniyoshi, Tatsuya Harada:
Hard negative classes for multiple object detection. ICRA 2014: 3066-3073 - [c7]Sho Inaba, Asako Kanezaki, Tatsuya Harada:
Automatic Image Synthesis from Keywords Using Scene Context. ACM Multimedia 2014: 1149-1152 - [c6]Masaru Mizuochi, Asako Kanezaki, Tatsuya Harada:
Clothing Retrieval Based on Local Similarity with Multiple Images. ACM Multimedia 2014: 1165-1168 - 2013
- [c5]Asako Kanezaki, Yasuo Kuniyoshi, Tatsuya Harada:
Weakly-supervised multi-class object detection using multi-type 3D features. ACM Multimedia 2013: 605-608 - 2011
- [c4]Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi:
Scale and rotation invariant color features for weakly-supervised object Learning in 3D space. ICCV Workshops 2011: 617-624 - [c3]Asako Kanezaki, Takahiro Suzuki, Tatsuya Harada, Yasuo Kuniyoshi:
Fast object detection for robots in a cluttered indoor environment using integral 3D feature table. ICRA 2011: 4026-4033 - 2010
- [j1]Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi:
Partial matching of real textured 3D objects using color cubic higher-order local auto-correlation features. Vis. Comput. 26(10): 1269-1281 (2010) - [c2]Asako Kanezaki, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
High-speed 3D object recognition using additive features in a linear subspace. ICRA 2010: 3128-3134
2000 – 2009
- 2009
- [c1]Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi:
Partial Matching for Real Textured 3D Objects using Color Cubic Higher-order Local Auto-Correlation Features. 3DOR@Eurographics 2009: 9-12
Coauthor Index
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last updated on 2024-12-02 21:28 CET by the dblp team
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