High-speed 3D object recognition using additive features in a linear subspace. - Asako Kanezaki; Hideki Nakayama; Tatsuya Harada; Yasuo Kuniyoshi (ICRA, 2010)

Partial matching of real textured 3D objects using color cubic higher-order local auto-correlation features. - Asako Kanezaki; Tatsuya Harada; Yasuo Kuniyoshi (Vis. Comput., 2010)

Scale and rotation invariant color features for weakly-supervised object Learning in 3D space. - Asako Kanezaki; Tatsuya Harada; Yasuo Kuniyoshi (ICCV Workshops, 2011)

Fast object detection for robots in a cluttered indoor environment using integral 3D feature table. - Asako Kanezaki; Takahiro Suzuki; Tatsuya Harada; Yasuo Kuniyoshi (ICRA, 2011)

Weakly-supervised multi-class object detection using multi-type 3D features. - Asako Kanezaki; Yasuo Kuniyoshi; Tatsuya Harada (ACM Multimedia, 2013)

Learning Similarities for Rigid and Non-rigid Object Detection. - Asako Kanezaki; Emanuele Rodolà; Daniel Cremers; Tatsuya Harada (3DV, 2014)

Mirror reflection invariant HOG descriptors for object detection. - Asako Kanezaki; Yusuke Mukuta; Tatsuya Harada (ICIP, 2014)

Hard negative classes for multiple object detection. - Asako Kanezaki; Sho Inaba; Yoshitaka Ushiku; Yuya Yamashita; Hiroshi Muraoka; Yasuo Kuniyoshi; Tatsuya Harada (ICRA, 2014)

Automatic Image Synthesis from Keywords Using Scene Context. - Sho Inaba; Asako Kanezaki; Tatsuya Harada (ACM Multimedia, 2014)

Clothing Retrieval Based on Local Similarity with Multiple Images. - Masaru Mizuochi; Asako Kanezaki; Tatsuya Harada (ACM Multimedia, 2014)

Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes - Paper Type: Categories (7) and (5). - Zoltan-Csaba Marton; Ferenc Balint-Benczedi; Óscar Martínez Mozos; Nico Blodow; Asako Kanezaki; Lucian Cosmin Goron; Dejan Pangercic; Michael Beetz (J. Intell. Robotic Syst., 2014)

3D Selective Search for obtaining object candidates. - Asako Kanezaki; Tatsuya Harada (IROS, 2015)

Probabilistic Semi-Canonical Correlation Analysis. - Chie Kamada; Asako Kanezaki; Tatsuya Harada (ACM Multimedia, 2015)

Recognizing Activities of Daily Living with a Wrist-Mounted Camera. - Katsunori Ohnishi; Atsushi Kanehira; Asako Kanezaki; Tatsuya Harada (CVPR, 2016)

IBC127: Video dataset for fine-grained bird classification. - Tomoaki Saito; Asako Kanezaki; Tatsuya Harada (ICME, 2016)

RotationNet: Learning Object Classification Using Unsupervised Viewpoint Estimation. - Asako Kanezaki (CoRR, 2016)

RGB-D to CAD Retrieval with ObjectNN Dataset. - Binh-Son Hua; Quang-Trung Truong; Minh-Khoi Tran; Quang-Hieu Pham; Asako Kanezaki; Tang Lee; HungYueh Chiang; Winston H. Hsu; Bo Li 013; Yijuan Lu; Henry Johan; Shoki Tashiro; et al. (3DOR@Eurographics, 2017)

Large-Scale 3D Shape Retrieval from ShapeNet Core55. - Manolis Savva; Fisher Yu 001; Hao Su 001; Asako Kanezaki; Takahiko Furuya; Ryutarou Ohbuchi; Zhichao Zhou; Rui Yu 002; Song Bai 001; Xiang Bai; Masaki Aono; Atsushi Tatsuma; et al. (3DOR@Eurographics, 2017)

Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections. - Ryohei Kuga; Asako Kanezaki; Masaki Samejima; Yusuke Sugano; Yasuyuki Matsushita (ICCV Workshops, 2017)

cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey. - Hirokatsu Kataoka; Soma Shirakabe; Yun He; Shunya Ueta; Teppei Suzuki; Kaori Abe; Asako Kanezaki; Shinichiro Morita; Toshiyuki Yabe; Yoshihiro Kanehara; Hiroya Yatsuyanagi; Shinya Maruyama; et al. (CoRR, 2017)

"Change the Changeable" Framework for Implementation Research in Health. - Mikiko Oono; Yoshifumi Nishida; Koji Kitamura; Asako Kanezaki; Tatsuhiro Yamanaka (CSEDU (2), 2018)

RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints. - Asako Kanezaki; Yasuyuki Matsushita; Yoshifumi Nishida (CVPR, 2018)

Unsupervised Image Segmentation by Backpropagation. - Asako Kanezaki (ICASSP, 2018)

An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness. - Nevrez Imamoglu; Wataru Shimoda; Chi Zhang 027; Yuming Fang; Asako Kanezaki; Keiji Yanai; Yoshifumi Nishida (CoRR, 2018)

GOSELO: Goal-Directed Obstacle and Self-Location Map for Robot Navigation Using Reactive Neural Networks. - Asako Kanezaki; Jirou Nitta; Yoko Sasaki (IEEE Robotics Autom. Lett., 2018)

An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness. - Nevrez Imamoglu; Wataru Shimoda; Chi Zhang 027; Yuming Fang; Asako Kanezaki; Keiji Yanai; Yoshifumi Nishida (Signal Image Video Process., 2018)

Salient Object Detection on Hyperspectral Images Using Features Learned from Unsupervised Segmentation Task. - Nevrez Imamoglu; Guanqun Ding; Y. Fang; Asako Kanezaki; Toru Kouyama; Ryosuke Nakamura (ICASSP, 2019)

A3C Based Motion Learning for an Autonomous Mobile Robot in Crowds. - Yoko Sasaki; Syusuke Matsuo; Asako Kanezaki; Hiroshi Takemura (SMC, 2019)

Salient object detection on hyperspectral images using features learned from unsupervised segmentation task. - Nevrez Imamoglu; Guanqun Ding; Yuming Fang; Asako Kanezaki; Toru Kouyama; Ryosuke Nakamura (CoRR, 2019)

Deep Reactive Planning in Dynamic Environments. - Kei Ota; Devesh K. Jha; Tadashi Onishi; Asako Kanezaki; Yusuke Yoshiyasu; Yoko Sasaki; Toshisada Mariyama; Daniel Nikovski (CoRL, 2020)

Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. - Kei Ota; Yoko Sasaki; Devesh K. Jha; Yusuke Yoshiyasu; Asako Kanezaki (IROS, 2020)

Incremental multi-view object detection from a moving camera. - Takashi Konno; Ayako Amma; Asako Kanezaki (MMAsia, 2020)

Visual Object Search by Learning Spatial Context. - Raphael Druon; Yusuke Yoshiyasu; Asako Kanezaki; Alassane Watt (IEEE Robotics Autom. Lett., 2020)

Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering. - Wonjik Kim; Asako Kanezaki; Masayuki Tanaka 001 (IEEE Trans. Image Process., 2020)

Path Planning using Neural A* Search. - Ryo Yonetani; Tatsunori Taniai; Mohammadamin Barekatain; Mai Nishimura; Asako Kanezaki (ICML, 2021)

Training Larger Networks for Deep Reinforcement Learning. - Kei Ota; Devesh K. Jha; Asako Kanezaki (CoRR, 2021)

RotationNet for Joint Object Categorization and Unsupervised Pose Estimation from Multi-View Images. - Asako Kanezaki; Yasuyuki Matsushita; Yoshifumi Nishida (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. - Keisuke Okumura 001; Ryo Yonetani; Mai Nishimura; Asako Kanezaki (AAMAS, 2022)

Object Memory Transformer for Object Goal Navigation. - Rui Fukushima; Kei Ota; Asako Kanezaki; Yoko Sasaki; Yusuke Yoshiyasu (ICRA, 2022)

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. - Hana Hoshino; Kei Ota; Asako Kanezaki; Rio Yokota (ICRA, 2022)

Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array. - Wenru Zheng; Ryota Yoshihashi; Rei Kawakami; Ikuro Sato; Asako Kanezaki (CVPR Workshops, 2023)

Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification. - Hao Zheng; Runqi Wang; Jianzhuang Liu; Asako Kanezaki (ICLR, 2023)

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. - Kei Ota; Hsiao-Yu Tung; Kevin A. Smith 001; Anoop Cherian; Tim K. Marks; Alan Sullivan; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 2023)

Multi-Goal Audio-Visual Navigation Using Sound Direction Map. - Haru Kondoh; Asako Kanezaki (IROS, 2023)

EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor Data. - Yuzhe Hao; Kuniaki Uto; Asako Kanezaki; Ikuro Sato; Rei Kawakami; Koichi Shinoda (MMM (1), 2023)

Point Anywhere: Directed Object Estimation from Omnidirectional Images. - Nanami Kotani; Asako Kanezaki (SIGGRAPH Posters, 2023)

DAC: Disentanglement-and-Calibration Module for Cross-Domain Few-Shot Classification. - Hao Zheng; Qiang Zhang; Asako Kanezaki (IEEE Access, 2023)

Multi-Agent Visual Coordination Using Optical Wireless Communication. - Haruyuki Nakagawa; Asako Kanezaki (IEEE Robotics Autom. Lett., 2023)

Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras. - Haruyuki Nakagawa; Yoshitaka Miyatani; Asako Kanezaki (AAMAS, 2024)

OP-Align: Object-Level and Part-Level Alignment for Self-supervised Category-Level Articulated Object Pose Estimation. - Yuchen Che; Ryo Furukawa; Asako Kanezaki (ECCV (75), 2024)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement. - Kei Ota; Devesh K. Jha; Krishna Murthy Jatavallabhula; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 2024)

Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation. - Leyuan Sun; Asako Kanezaki; Guillaume Caron; Yusuke Yoshiyasu (CoRR, 2024)

Zero-shot Degree of Ill-posedness Estimation for Active Small Object Change Detection. - Koji Takeda; Kanji Tanaka 003; Yoshimasa Nakamura; Asako Kanezaki (CoRR, 2024)

A framework for training larger networks for deep Reinforcement learning. - Kei Ota; Devesh K. Jha; Asako Kanezaki (Mach. Learn., 2024)

Enhancing multimodal-input object goal navigation by leveraging large language models for inferring room-object relationship knowledge. - Leyuan Sun; Asako Kanezaki; Guillaume Caron; Yusuke Yoshiyasu (Adv. Eng. Informatics, 2025)

Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models. - Masaru Yajima; Kei Ota; Asako Kanezaki; Rei Kawakami (CoRR, 2025)

FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models. - Kuanting Wu; Kei Ota; Asako Kanezaki (CoRR, 2025)

Modality Selection and Skill Segmentation via Cross-Modality Attention. - Jiawei Jiang; Kei Ota; Devesh K. Jha; Asako Kanezaki (CoRR, 2025)