実績

2024 　[概要一覧]

• Kohtaro Tanaka, Kohei Uehara, Lin Gu, Yusuke Mukuta, Tatsuya Harada Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought In Findings of the Association for Computational Linguistics (NAACL Findings), 2024

• Open X-Embodiment Collaboration (173 authors, including Takayuki Osa, Yujin Tang, and Tatsuya Harada) Open X-Embodiment: Robotic Learning Datasets and RT-X Models Proceedings of the IEEE International Conferences on Robotics and Automation (ICRA), 2024

• Takayuki Osa and Tatsuya Harada Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behavior and Adversarial Style Sampling for Assistive Tasks Proceedings of the IEEE International Conferences on Robotics and Automation (ICRA), 2024

• Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin, Yunfei Liu, Tatsuya Harada GPAvatar: Generalizable and Precise Head Avatar from Image(s) The 12th International Conference on Learning Representations (ICLR), 2024 (Link)

• Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto Sketch-based semantic retrieval of medical images Medical Image Analysis (Link)

• Kohei Uehara, Tatsuya Harada Learning by Asking Questions for Knowledge-based Novel Object Recognition IJCV Special Issue on Multimodal Learning (Link) (Project Page)

• Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption 38th AAAI Conference on Artificial Intelligence (AAAI), 2024 (Link)

• Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada Symmetric Q-Learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning 38th AAAI Conference on Artificial Intelligence (AAAI), 2024

• Thomas Westfechtel, Hao-Wei Yeh, Dexuan Zhang, Tatsuya Harada Gradual Source Domain Expansion for Unsupervised Domain Adaptation Winter Conference on Applications of Computer Vision (WACV), 2024

2023 　[概要一覧]

• Yuki Kawana, Tatsuya Harada Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
• Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer International Conference on Computer Vision (ICCV) 2023 (oral)
• Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada Unsupervised Domain Adaptation via Minimized Joint Error Transactions on Machine Learning Research 2023 (Link)
• Yutong Xie, Lin Gu , Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu MedIM: Boost Medical Image Representation via Radiology Report-guided Masking Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023)
• Yusuke Mukuta, Tatsuya Harada Invariant Feature Coding using Tensor Product Representation Transactions on Machine Learning Research 2023 (Link)
• Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada Learning Adaptive Policies for Autonomous Excavation Under Various Soil Conditions by Adversarial Domain Sampling IEEE Robotics and Automation Letters, Vol. 8, No. 9, pp. 5536-5543, 2023. (Link)
• Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, yuji Hamamoto Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023) Early Acceptance (oral)
• Yunling Li, Shangxuan Li, Hanqiu Ju, Tatsuya Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu, Wu Zhou Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma Pattern Recognition (Link)
• Xinyue Hu, Lin Gu, Qiyuan An, Zhang Mengliang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
• Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images IEEE International Symposium on Biomedical Imaging (ISBI) 2023 (arXiv)
• Kohei Shiba, Yusuke Mukuta, Tatsuya Harada Zero-shot Object Classification with Large-scale Knowledge Graph 2nd Workshop on Learning with Limited Labelled Data for Image and Video Understanding (CVPR2023 workshop)
• Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada COMPASS: A creative support system that alerts novelists to the unnoticed missing contents Computer Speech & Language, Volume 80, 2023, 101484, ISSN 0885-2308, https://doi.org/10.1016/j.csl.2023.101484. (open access)
• Zhennan Wu, Yang Li, Yifei Huang, Lin Gu, Tatsuya Harada, Hiroyuki Sato 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation International Conference on Learning Representations (ICLR 2023) May, 2023
• Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu People taking photos that faces never share: Privacy Protection and Fairness Enhancement from Camera to User AAAI Conference on Artificial Intelligence (AAAI), Feb, 2023 (Link)
• Thomas Westfechtel, Hao-Wei Yeh, Qier Meng, Yusuke Mukuta, Tatsuya Harada Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment Winter Conference on Applications of Computer Vision (WACV) 2023
• Kohei Uehara, Tatsuya Harada K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition Winter Conference on Applications of Computer Vision (WACV) 2023 (arXiv)

2022 　[概要一覧]

• Hiroaki Yamane, Yusuke Kurose, Antonio Tejero-de-Pablos, Lin Gu; Junichi Iho, Youji Tokunaga, Makoto Horie, Yusaku Hayashi, Keisuke Nishizawa, Yasushi Koyama, Tatsuya Harada Readmission Prediction for Heart Failure Patients Using Features Extracted From SS-MIX 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), Ise, Japan, 2022, pp. 1-5, doi: 10.1109/SCISISIS55246.2022.10001907 (Paper)
• Hao-Wei Yeh, Thomas Westfechtel, Jia-Bin Huang, Tatsuya Harada Boosting Source-free Domain Adaptation via Confidence-based Subsets Feature Alignment 26th International Conference on Pattern Recognition (ICPR), 2022. (Paper)
• Mohammad Reza Motallebi, Thomas Westfechtel, Yang Li, Tatsuya Harada Unsupervised Hierarchical Disentanglement for Video Prediction In 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022.
• Daiki Naruse, Tomoyuki Takahata, Yusuke Mukuta, Tatsuya Harada Pop Music Generation with Controllable Phrase Lengths The 23rd International Society for Music Information Retrieval Conference (ISMIR 2022)
• Takayuki Hara, Yusuke Mukuta, Tatsuya Harada Spherical Image Generation From a Few Normal-Field-of-View Images by Considering Scene Symmetry IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (PDF)
• Kohtaro Tanaka, Hiroaki Yamane, Yusuke Mori, Yusuke Mukuta, Tatsuya Harada Learning to Evaluate Humor in Memes Based on the Incongruity Theory When creative AI meets conversational AI (COLING 2022, Workshop), 2022. (PDF)
• Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction British Machine Vision Conference (BMVC 2022) (Code)
• Bumjun Jung, Lin Gu, Tatsuya Harada Graph interaction for automated diagnosis of thoracic disease using x-ray images. Medical Imaging 2022: Image Processing. Vol. 12032. SPIE, 2022.
• Yang Li, Tatsuya Harada Non-rigid Point Cloud Registration with Neural Deformation Pyramid. Thirty-sixth Conference on Neural Information Processing Systems NeurIPS, 2022. (arXiv) (Code)
• Yuki Kawana, Yusuke Mukuta, Tatsuya Harada Unsupervised Pose-aware Part Decomposition for Man-made Articulated Objects The European Conference on Computer Vision (ECCV), 2022. (oral)
• Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection The European Conference on Computer Vision (ECCV), 2022.
• Tianhan Xu, Tatsuya Harada Deforming Radiance Fields with Cages The European Conference on Computer Vision (ECCV), 2022. (ProjectPage) (Code)
• Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations The European Conference on Computer Vision (ECCV), 2022.
• Nabarun Goswami, Tatsuya Harada SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate Interspeech, 2022.
• Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin Hancock Information Bottleneck and Selective Noise Supervision for Zero-Shot Learning Machine Learning
• Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Tatsuya Harada Plug-and-Play Controller for Story Completion: A Pilot Study toward Emotion-aware Story Writing Assistance The First Workshop on Intelligent and Interactive Writing Assistants (In2Writing) (ACL 2022, Workshop), 2022.
• Kohei Uehara, Yusuke Mori, Yusuke Mukuta, Tatsuya Harada ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer The 1st International Workshop on Multimodal Understanding for the Web and Social Media (WWW 2022, Workshop), 2022. (PDF)
• Kohei Uehara, Nan Duan, Tatsuya Harada Learning to Ask Informative Sub-Questions for Visual Question Answering 5th Multimodal Learning and Applications Workshop (CVPR 2022, Workshop), 2022.
• Yang Li, Tatsuya Harada Lepard: Learning partial point cloud matching in rigid and deformable scenes The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (PDF) (CODE)
• Jiawei Zhang, Xiang Wang, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Hancock Edwin Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
• Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (PROJECT PAGE)
• Baoyao Yang, Hao-Wei Yeh, Tatsuya Harada, Pong C. Yuen Model-Induced Generalization Error Bound for Information-Theoretic Representation Learning in Source-Data-Free Unsupervised Domain Adaptation IEEE Transactions on Image Processing. pp.419-432, 2022. Digital Object Identifier: 10.1109/TIP.2021.3130530
• Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada Fully Spiking Variational Autoencoder Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.

2021 [概要一覧]

• Ayaka Ideno, Yusuke Mukuta, and Tatsuya Harada Generation of Variable-Length Time Series from Text using Dynamic Time Warping-Based Method In ACM Multimedia Asia Workshop (MMAsia '21 Workshop), December 1–3, 2021, Gold Coast, Australia. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3469877.3495644
• Tomu Hirata, Yusuke Mukuta, and Tatsuya Harada Making Video Recognition Models Robust to Common Corruptions With Supervised Contrastive Learning In ACM Multimedia Asia Workshop (MMAsia '21 Workshop), December 1–3, 2021, Gold Coast, Australia. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3469877.3497692
• Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu* , Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data The British Machine Vision Conference (BMVC), 2021. (*corresponding author)
• Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada Neural Articulated Radiance Field International Conference on Computer Vision (ICCV), 2021. (PDF) (CODE)
• Ziteng Cui, Guo-Jun Qi, Lin Gu*, Shaodi You, Zenghui Zhang, Tatsuya Harada Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection International Conference on Computer Vision (ICCV), 2021. (PDF) (CODE)
• Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada The Nectar of Missing Position Prediction for Story Completion Text2Story 2021 (ECIR 2021, Workshop), 2021. (PDF)
• Wataru Kawai, Yusuke Mukuta, Tatsuya Harada Real-Time Mesh Extraction from Implicit Functions via Direct Reconstruction of Decision Boundary IEEE International Conference on Robotics and Automation (ICRA 2021), 2021.
• 【査読なし】森 友亮†, 上原康平†, 原田達也, (†equal contribution) 視覚・言語融合 Transformer モデルによる画像からの物語文生成 CAI+CAI first workshop (言語処理学会第 27 回年次大会 ワークショップ), 福岡（オンライン）, 2021 年 3 月. (PDF) (SLIDE)
• Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada Goal-Oriented Gaze Estimation for Zero-Shot Learning The 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (accepted).
• Westfechtel, Thomas, et al Semantic Mapping of Construction Site from Multiple Daily Airborne LiDAR Data IEEE Robotics and Automation Letters, 2021. (PDF)
• Hiroaki Yamane, Yusuke Mori, Tatsuya Harada Humor meets morality: Joke generation based on moral judgement Information Processing & Management, Volume 58, Issue 3, May 2021. (ScienceDirect)
• Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada Beam stack search-based reconstruction of unhealthy coronary artery wall segmentations in CCTA-CPR scans IEEE International Symposium on Biomedical Imaging (ISBI), 2021. (oral)
• Takayuki Hara, Yusuke Mukuta, Tatsuya Harada Spherical Image Generation from a Single Image by Considering Scene Symmetry Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (PDF) (Code)
• Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada Hyperbolic Neural Networks++ International Conference on Learning Representations (ICLR), 2021. (PDF)
• Hao-Wei Yeh, Baoyao Yang, PongChi Yuen, Tatsuya Harada SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation Winter Conference on Applications of Computer Vision 2021 (WACV), 2021. (PDF) (SUPPLEMENTARY) (PRESENTATION)

2020 [概要一覧]

• Lisa Kawai, Philippe Esling, Tatsuya Harada Attributes-aware Deep Music Transformation The 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 (accepted). (PDF)
• Kenzo Lobos-Tsunekawa, Tatsuya Harada Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. (PDF)
• Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta and Tatsuya Harada Finding and Generating a Missing Part for Story Completion 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) (COLING 2020, Workshop), 2020. (PDF) (CODE)
• Yuki Kawana, Yusuke Mukuta, Tatsuya Harada Neural Star Domain as Primitive Representation Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.
• S. Inayoshi, K. Otani, A. Tejero-de-Pablos, T. Harada Bounding-box Channels for Visual Relationship Detection Proc. European Conference on Computer Vision, 16 pages, 2020.
• R. Harada, A. Tejero-de-Pablos, T. Harada Accurate Parts Visualization for Explaining CNN Reasoning via Semantic Segmentation The British Machine Vision Conference, 11 pages, 2020.
• N. Fushishita, A. Tejero-de-Pablos, Y. Mukuta, T. Harada Long-Term Human Video Generation of Multiple Futures Using Poses Proc. Workshops European Conference on Computer Vision, 16 pages, 2020.
• T. Harada, A. Tejero-de-Pablos, S. Quer, F. Savarese Service Robots: A Unified Framework for Detecting, Opening and Navigating Through Doors Springer Communications in Computer and Information Science, vol. 1250, issue 1, pp. 179-204, 2020.
• Kohei Uehara, Tatsuya Harada Unsupervised Keyword Extraction for Full-sentence VQA NLP Beyond Text Workshop (EMNLP 2020, Workshop), 2020 (accepted). (PDF)
• Keita Otani, Ayako Nakada, Yusuke Kurose, Ryota Niikura, Atsuo Yamada, Tomonori Aoki, Hiroyoshi Nakanishi, Hisashi Doyama, Kenkei Hasatani, Tetsuya Sumiyoshi, Masaru Kitsuregawa, Tatsuya Harada, Kazuhiko Koike Automatic detection of different types of small-bowel lesions on capsule endoscopy images using a newly developed deep convolutional neural network Endoscopy, 2020. (PDF)
• Yang Li, Tianwei Zhang, Yoshihiko Nakamura, Tatsuya Harada SplitFusion: Simultaneous Tracking and Mapping for Non-Rigid Scenes IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 (accepted). (PDF)
• Atsuhiro Noguchi, Tatsuya Harada RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis The 8th International Conference on Learning Representations (ICLR), 2020 (accepted). (PDF)
• Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Niessner Learning to Optimize Non-Rigid Tracking The 33rd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (oral) (PDF)
• Sho Maeoki, Kohei Uehara, Tatsuya Harada Interactive Video Retrieval with Dialog The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Multimodal Learning (CVPR 2020, Workshop), 2020. (PDF)
• Takuhiro Kaneko, Tatsuya Harada Noise Robust Generative Adversarial Networks The 33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (accepted). (PDF) (PROJECT PAGE) (CODE)
• K. Huang, A. Tejero-de-Pablos, H. Yamane, Y. Kurose, J. Iho, Y. Tokunaga, M. Horie, K. Nishizawa, Y. Hayashi, Y. Koyama, T. Harada Coronary wall segmentation in CCTA scans via a hybrid net with contours regularization Proc. IEEE International Symposium on Biomedical Imaging, 2020 (accepted).

2019

• Atsuro Okazawa, Tomoyuki Takahata, Tatsuya Harada Simultaneous Transparent and Non-Transparent Object Segmentation With Multispectral Scenes IEEE International Workshop on Intelligent Robots and Systems (IROS) (PDF)(Video)
• Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada Toward a Better Story End: Collecting Human Evaluation with Reasons The 12th International Conference on Natural Language Generation (INLG 2019), 2019. (PDF)
• Toshihiko Matsuura, Tatsuya Harada Domain Generalization Using a Mixture of Multiple Latent Domains The 34th AAAI Conference on Artificial Intelligence (AAAI2020), 2020, (poster). (PDF) (GitHub)
• Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada Multi-Stage Pathological Image Classification Using Semantic Segmentation The IEEE International Conference on Computer Vision (ICCV), 2019. (PDF)
• Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada Generating Easy-to-Understand Referring Expressions for Target Identifications The IEEE International Conference on Computer Vision (ICCV), 2019. (PDF)
• Atsuhiro Noguchi, Tatsuya Harada Image Generation From Small Datasets via Batch Statistics Adaptation The IEEE International Conference on Computer Vision (ICCV), 2019. (PDF)
• Francisco Savarese, Antonio Tejero-de-Pablos, Stefano Quer, Tatsuya Harada Detecting, Opening and Navigating through Doors: A Unified Framework for Human Service Robots International Conference on Software Technologies (ICSOFT2019), pp.416-427, 2019. (PROJECT PAGE)
• Antonio Tejero-de-Pablos, Tatsuya Harada Suppressing Racial Bias in Image Recognition via Domain Adaptation The 32nd Workshop on Circuits and Systems, pp. 99-104, 2019.
• Teppei Kanayama, Yusuke Kurose, Kiyohito Tanaka, Kento Aida, Shin’ichi Satoh, Masaru Kitsuregawa, Tatsuya Harada Gastric Cancer Detection from Endoscopic Images Using Synthesis by GAN Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, pp. 530-538, 2019. (Springer Link)
• A. Tejero-de-Pablos, K. Huang, H. Yamane, Y. Kurose, Y. Mukuta, J. Iho, Y. Tokunaga, M. Horie, K. Nishizawa, Y. Hayashi, Y. Koyama, T. Harada Texture-based Classification of Significant Stenosis in CCTA Images of Coronary Arteries Medical Image Computing and Computer Assisted Intervention (MICCAI2019), pp.732-740, 2019. (Springer Link)
• Kosuke Arase, Yusuke Mukuta, Tatsuya Harada Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds The 4th Geometry Meets Deep Learning Workshop (ICCV 2019, Workshop), 2019. (PDF)
• Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada Class-Distinct and Class-Mutual Image Generation with GANs The 30th British Machine Vision Conference (BMVC 2019), 2019, (spotlight). (PDF) (PROJECT PAGE (CODE)
• Takayoshi Takayanagi, Yusuke Kurose, Tatsuya Harada Hierarchical Task Planning from Object Goal State for Human-Assist Robot 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).
• Yusuke Mori, Hiroaki Yamane, Yoshitaka Ushiku, Tatsuya Harada How narratives move your mind: A corpus of shared-character stories for connecting emotional flow and interestingness Information Processing & Management, Volume 56, Issue 5, 2019, Pages 1865-1879, ISSN 0306-4573. (ScienceDirect) (Accepted Manuscript)
• Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada Multimodal Explanations by Predicting Counterfactuality in Videos The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019, (oral). (PDF)
• Hiroharu Kato, Tatsuya Harada Learning View Priors for Single-view 3D Reconstruction The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019. (PDF) (PROJECT PAGE)
• Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada Label-Noise Robust Generative Adversarial Networks The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019, (oral). (PDF) (PROJECT PAGE) (CODE)
• Atsushi Kanehira, Tatsuya Harada Learning to Explain with Complemental Examples The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019, (oral). (PDF)
• Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko Strong-Weak Distribution Alignment for Adaptive Object Detection The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019. (PDF) (PROJECT PAGE)
• A. Hayakawa, Y. Kurose, K. Tanaka, K. Aida, S. Satoh, M. Kitsuregawa, T. Harada Gastric cancer detection for gastroenterological endoscopy with local and multi-scale global information Computer Assisted Radiology and Surgery (CARS2019), 2019.
• Yang Li, Yoshitaka Ushiku, Tatsuya Harada Pose Graph Optimization for Unsupervised Monocular Visual Odometry IEEE International Conference on Robotics and Automation (ICRA 2019), 2019.
• Jen-Yen Chang, Antonio Tejero-de-Pablos, Tatsuya Harada Improved Optical Flow for Gesture-based Human Robot Interaction IEEE International Conference on Robotics and Automation (ICRA 2019), 2019.
• Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada Estimating the Causal Effect from Partially Observed Time Series the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 2019.

2018

• Toshihiko Matsuura, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada Generalized Bayesian Canonical Correlation Analysis with Missing Modalities 1st Multimodal Learning and Applications Workshop (ECCV2018 Workshop), 2018 (PDF)
• Kohei Uehara, Antonio Tejero-de-Pablos, Yoshitaka Ushiku, Tatsuya Harada Visual Question Generation for Class Acquisition of Unknown Objects The 15th European Conference on Computer Vision (ECCV2018), 2018, (poster). (PDF) (CODE)
• Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada Open Set Domain Adaptation by Backpropagation The 15th European Conference on Computer Vision (ECCV2018), 2018. (PDF)
• Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada. Customized Image Narrative Generation via Interactive Visual Question Generation and Answering. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2018), 2018, (spotlight).
• Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada. Viewpoint-aware Video Summarization. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2018), 2018, (spotlight). (PDF) (SUPPLEMENTAL DATA)
• Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada. Neural 3D Mesh Renderer. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2018), 2018, (spotlight). (PDF) (PROJECT PAGE) (CODE)
• Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2018), 2018, (oral). (PDF) (PROJECT PAGE)
• Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada. Between-class Learning for Image Classification. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2018), 2018, (poster). (PDF) (CODE)
• Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko. Adversarial Dropout Regularization. The 6th International Conference on Learning Representations (ICLR 2018), 2018. (PDF) (PROJECT PAGE)
• Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada. Learning from Between-class Examples for Deep Sound Recognition. The 6th International Conference on Learning Representations (ICLR 2018), 2018. (PDF) (CODE)
• Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Alternating Circulant Random Features for Semigroup Kernels. The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2018.
• Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture. The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2018, (oral). (PDF) (SUPPLEMENTAL DATA) (CODE)

2017

• Hanna Tseran, Tatsuya Harada Memory Augmented Neural Network with Gaussian Embeddings for One-Shot Learning The 30th Annual Conference on Neural Information Processing Systems Workshop on Bayesian Deep Learning (NIPS 2017, Workshop), 2017. (PDF)
• Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Deep Modality Invariant Adversarial Network for Shared Representation Learning. The 16th International Conference on Computer Vision Workshop on Transferring and Adapting Source Knowledge in Computer Vision (ICCV 2017, Workshop), 2017. (PDF)
• Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Spatial-Temporal Weighted Pyramid using Spatial Orthogonal Pooling. The 16th International Conference on Computer Vision Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (ICCV 2017, Workshop), 2017. (PDF)
• Masatoshi Hidaka, Yuichiro Kikura, Yoshitaka Ushiku, Tatsuya Harada. WebDNN: Fastest DNN Execution Framework on Web Browser. ACM International Conference on Multimedia (ACMMM), Open Source Software Competition, pp.1213-1216, 2017. (PDF)
• Takumi Karasawa, Kohei Watanabe, Qishen Ha, Antonio Tejero-De-Pablos, Yoshitaka Ushiku, Tatsuya Harada. Multispectral Object Detection for Autonomous Vehicles. The 25th Annual ACM International Conference on Multimedia (ACMMM 2017), 2017, (workshop). (PDF) (PROJECT PAGE)
• Qishen Ha, Kohei Watanabe, Takumi Karasawa, Yoshitaka Ushiku, Tatsuya Harada. MFNet: Towards Real-Time Semantic Segmentation for Autonomous Vehicles with Multi-Spectral Scenes. The 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), 2017. (PROJECT PAGE)
• 原田 達也. 画像認識 (機械学習プロフェッショナルシリーズ) 講談社. (Amazon)
• Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada. Asymmetric Tri-training for Unsupervised Domain Adaptation. The 34th International Conference on Machine Learning (ICML 2017), 2017. (PDF)
• Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada. Spatio-temporal Person Retrieval via Natural Language Queries. The 16th International Conference on Computer Vision (ICCV 2017), 2017. (PDF) (SUPPLEMENTAL DATA)
• Kuniaki Saito, Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada. DUALNET: DOMAIN-INVARIANT NETWORK FOR VISUAL QUESTION ANSWERING. The 18th IEEE International Conference on Multimedia and Expo (ICME 2017), 2017. (PDF link)
• Yuji Tokozume, Tatsuya Harada. LEARNING ENVIRONMENTAL SOUNDS WITH END-TO-END CONVOLUTIONAL NEURAL NETWORK. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), 2017. (PDF link) (Poster PDF link)
• Masatoshi Hidaka, Ken Miura, Tatsuya Harada. Development of JavaScript-based deep learning platform and application to distributed training. The 5th International Conference on Learning Representations (ICLR 2017), 2017, (workshop). (PDF link)
• Qianru Sun, Hong Liu, Tatsuya Harada. Online growing neural gas for anomaly detection in changing surveillance scenes. Pattern Recognition, vol.64, pp.187-201, 2017. (PDF link)

2016

• Asako Kanezaki. RotationNet: Learning Object Classification Using Unsupervised Viewpoint Estimation. arXiv preprint arXiv:1603.06208. (PDF) (SUPPLEMENTAL DATA)
• Andrew Shin, Masataka Yamaguchi, Katsunori Ohnishi, Tatsuya Harada. Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning. arXiv preprint arXiv:1603.09046. (PDF)
• Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada. Recognizing Activities of Daily Living with a Wrist-mounted Camera. The Twenty-Ninth IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2016), 2016, (spotlight oral, acceptance rate: 9.7%). (PDF) (DATASET)
• Atsushi Kanehira and Tatsuya Harada. Multi-label Ranking from Positive and Unlabeled Data. The Twenty-Ninth IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2016), 2016, (acceptance rate: 29.9%). (PDF)
• Yusuke Mukuta, Tatsuya Harada. Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning. The Twenty-Ninth IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2016), 2016, (acceptance rate: 29.9%). (PDF) (SUPPLEMENTAL DATA)
• Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada. Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset. The British Machine Vision Conference (BMVC 2016), accepted, 2016. (PDF) (SUPPLEMENTAL DATA)
• Atsushi Kanehira, Andrew Shin, Tatsuya Harada. True-negative Label Selection for Large-scale Multi-label Learning. 23rd International Conference on Pattern Recognition (ICPR 2016), accepted, 2016.
• Andrew Shin, Katsunori Ohnishi, Tatsuya Harada. Beyond Caption To Narrative: Video Captioning With Multiple Sentences. IEEE International Conference on Image Processing (ICIP 2016), 2016. (PDF)
• Tomoaki Saito, Asako Kanezaki, Tatsuya Harada. IBC127: Video Dataset for Fine-grained Bird Classification. IEEE International Conference on Multimedia and Expo (ICME 2016), 2016. (DATASET)
• Shohei Yamamoto, Tatsuya Harada. Video Generation Using 3D Convolutional Neural Network. 24th Annual ACM International Conference on Multimedia (ACMMM 2016), 2016. (PDF)
• Katsunori Ohnishi, Masatoshi Hidaka, Tatsuya Harada. Improved Dense Trajectory with Cross Streams. 24th Annual ACM International Conference on Multimedia (ACMMM 2016), 2016. (PDF) (Trained CNN models on HMDB51)
• Tetsuaki Mano, Hiroaki Yamane, and Tatsuya Harada. Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis. 24th Annual ACM International Conference on Multimedia (ACMMM 2016), 2016. (PDF link)

2015

• Ken Miura, Tetsuaki Mano, Atsushi Kanehira, Yuichiro Tsuchiya, Tatsuya Harada. MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning. arXiv preprint arXiv:1502.06064.
• Ken Miura, Tatsuya Harada. Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning. arXiv preprint arXiv:1503.05743.
• Hiroharu Kato and Tatsuya Harada. Image Reconstruction from Bag-of-Visual-Words. arXiv preprint arXiv:1505.05190.
• Asako Kanezaki and Tatsuya Harada. 3D Selective Search for Obtaining Object Candidates. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, pp.82-87, 2015.
• Chie Kamada, Asako Kanezaki, Tatsuya Harada. Probabilistic Semi-Canonical Correlation Analysis. Proceedings of the 23th Annual ACM International Conference on Multimedia (ACMMM 2015), pp.1131-1134, 2015.
• Yoshitaka Ushiku, Yusuke Mukuta, Masataka Yamaguchi, Tatsuya Harada. Common Subspace for Model and Similarity: Phrase Learning for Sentence Generation from Images. In the 15th International Conference on Computer Vision (ICCV 2015), 2015.
• Hiroharu Kato and Tatsuya Harada. Visual Language Modeling on CNN Image Representations. arXiv preprint arXiv:1511.02872.
• 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.
• 大西克典, 原田達也. リストマウントカメラによる環境変化に頑健な日常生活動作認識. IPSJ SIG-CVIM: COMPUTER VISION AND IMAGE MEDIA (CVIM), pp.103-110, vol.198, no. 19, 2015 年 9 月..

2014

• Yoshitaka Ushiku, Masatoshi Hidaka and Tatsuya Harada. Three Guidelines of Online Learning for Large-Scale Visual Recognition. The Twenty-Seventh IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2014), pp.3574-3581, 2014.
• Hiroharu Kato and Tatsuya Harada. Image Reconstruction from Bag-of-Visual-Words. The Twenty-Seventh IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2014), pp.955-962, 2014.
• Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Yasuo Kuniyoshi, and Tatsuya Harada. Hard Negative Classes for Multiple Object Detection. 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), pp.3066-3073, 2014.
• Yusuke Mukuta, Tatsuya Harada. Probabilistic Partial Canonical Correlation Analysis. In Proceedings of the 31st International Conference on Machine Learning (ICML 2014), pp.1449-1457, 2014.
• Asako Kanezaki, Yusuke Mukuta, Tatsuya Harada. Mirror Reflection Invariant HOG descriptors for Object Detection. In IEEE International Conference on Image Processing (ICIP 2014), pp.1594-1598, 2014.
• Masaru Mizuochi, Asako Kanezaki, Tatsuya Harada. Clothing Retrieval Based on Local Similarity with Multiple Images. Proceedings of the 22th Annual ACM International Conference on Multimedia (ACMMM 2014), pp.1165-1168, 2014. (short, acceptance rate: 30 %).
• Sho Inaba, Asako Kanezaki, Tatsuya Harada. Automatic Image Synthesis from Keywords Using Scene Context. Proceedings of the 22th Annual ACM International Conference on Multimedia (ACMMM 2014), pp.1149-1152, 2014. (short, acceptance rate: 30 %).
• Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada. Learning Similarities for Rigid and Non-Rigid Object Detection. International Conference on 3D Vision (3DV 2014), pp.720-727, 2014.
• 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.
• 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.

2013

• Emanuele Rodolà, Tatsuya Harada, Yasuo Kuniyoshi, and Daniel Cremers. Efficient Shape Matching using Vector Extrapolation. The British Machine Vision Conference (BMVC 2013), pp. 91.1-91.11, 2013. (oral, acceptance rate 7%)
• Emanuele Rodolà, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, and Daniel Cremers. Elastic Net Constraints for Shape Matching. the 14th International Conference on Computer Vision (ICCV 2013), pp.1169-1176, 2013. (acceptance rate: 28.9%)
• Asako Kanezaki, Yasuo Kuniyoshi, and Tatsuya Harada. Weakly-supervised Multi-class Object Detection Using Multi-type 3D Features. Proceedings of the 21th Annual ACM International Conference on Multimedia (ACMMM 2013), pp. 605-608, 2013. (short, acceptance rate: 30 %)
• Masaru Mizuochi, Takayuki Higuchi, Chie Kamada and Tatsuya Harada. MIL at ImageCLEF 2013: Personal Photo Retrieval. CLEF 2013 Evaluation Labs and Workshop, Online Working Notes, 23-26 September, Valencia, Spain .
• Masatoshi Hidaka, Naoyuki Gunji and Tatsuya Harada. MIL at ImageCLEF 2013: Scalable System for Image Annotation. CLEF 2013 Evaluation Labs and Workshop, Online Working Notes, 23-26 September, Valencia, Spain.
• 郡司直之, 樋口貴之, 安本晃基, 村岡宏是, 牛久祥孝, 原田達也, 國吉康夫. 複数の画像特徴と Passive-Aggressive を用いた fine-grained classification. パターン認識・メディア理解研究会（PRMU）, pp. 25-30, 2013 年 3 月. .
• 日高雅俊, 郡司直之, 原田達也. ラベル間の階層構造を考慮した Web 画像アノテーション手法に関する研究. パターン認識・メディア理解研究会（PRMU）, pp. 201-206, 2013 年 9 月.
• 鎌田智恵, 原田達也. マルチモーダル情報の相互情報量に基づく異常検出に関する研究. パターン認識・メディア理解研究会（PRMU）, pp. 167-172, 2013 年 9 月.
• 椋田悠介, 原田達也. 確率的偏正準相関分析. 信学技報, vol. 113, no. 286, IBISML2013-58, pp. 169-176, 2013 年 11 月.

2012

• Yuya Yamashita, Tatsuya Harada, and Yasuo Kuniyoshi. Causal Flow. IEEE Transactions on Multimedia, Vol.3, No.3, pp.619-629, 2012.
• Tatsuya Harada, and Yasuo Kuniyoshi. Graphical Gaussian Vector for Image Categorization. the Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), 2012. (acceptance rate: xx%)
• Yoshitaka Ushiku, Tatsuya Harada, and Yasuo Kuniyoshi. Efficient Image Annotation for Automatic Sentence Generation. the 20th Annual ACM International Conference on Multimedia (ACMMM 2012), pp.549-558, 2012. (full paper, acceptance rate: 20.2%)
• Hiroharu Kato, Tatsuya Harada, and Yasuo Kuniyoshi. Visual Anomaly Detection from Small Samples for Mobile Robots. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), pp.3171-3178, 2012.
• Fumihiro Bessho, Tatsuya Harada and Yasuo Kuniyoshi. Dialog System Using Real-Time Crowdsourcing and Twitter Large-Scale Corpus. Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2012), pp.227-231, 2012.
• Yoshitaka Ushiku, Hiroshi Muraoka, Sho Inaba, Teppei Fujisawa, Koki Yasumoto, Naoyuki Gunji, Takayuki Higuchi, Yuko Hara, Tatsuya Harada, and Yasuo Kuniyoshi. ISI at ImageCLEF 2012: Scalable System for Image Annotation. CLEF 2012 Evaluation Labs and Workshop, Online Working Notes, 17-20 Rome, Italy.

2011

• Takashi Shibuya, Tatsuya Harada, and Yasuo Kuniyoshi. Reliable index for measuring information flow. Phys. Rev. E 84, 061109 (2011). (PDF)
• Tatsuya Harada, Yoshitaka Ushiku, Yuya Yamashita, and Yasuo Kuniyoshi. Discriminative Spatial Pyramid. In The Twenty-Forth IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp.1617-1624, 2011. (acceptance rate: 26.4%)
• Yoshitaka Ushiku, Tatsuya Harada, and Yasuo Kuniyoshi. A Understanding Images with Natural Sentences. the 19th Annual ACM International Conference on Multimedia (ACMMM 2011), pp.679-682, 2011. (ACM Multimedia 2011 Grand Challenge Best Application of a Theory Framework Special Prize)
• Yoshitaka Ushiku, Tatsuya Harada, and Yasuo Kuniyoshi. Automatic Sentence Generation from Images. the 19th Annual ACM International Conference on Multimedia (ACMMM 2011), pp.1533-1536, 2011. (short, acceptance rate: 36.3%)
• Jun Imura, Teppei Fujisawa, Tatsuya Harada, and Yasuo Kuniyoshi. Efficient Multi-modal Retrieval in Conceptual Space. the 19th Annual ACM International Conference on Multimedia (ACMMM 2011), pp.1085-1088, 2011. (short, acceptance rate: 36.3%)
• Asako Kanezaki, Tatsuya Harada, and Yasuo Kuniyoshi. Scale and Rotation Invariant Color Features for Weakly-Supervised Object Learning in 3D Space. ICCV '11 Workshop on 3D Representation and Recognition (3dRR-11), pp.617-624, 2011.
• Takahiro Suzuki, Fumihiro Bessho, Tatsuya Harada, and Yasuo Kuniyoshi. Visual Anomaly Detection under Temporal and Spatial Non-uniformity for News Finding Robot. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), pp.1214-1220, 2011. (acceptance rate: 32.1%)
• 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.
• Yuya Yamashita, Tatsuya Harada, and Yasuo Kuniyoshi. Causal Flow. 2011 IEEE International Conference on Multimedia and Expo (ICME 2011), paper_356, 2011. (oral, acceptance rate: 8%, ICME 2011 Student Travel Grant)
• 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.
• Yoshitaka Ushiku, Tatsuya Harada, Yasuo Kuniyoshi. Improving Image Similarity Measures through Latent Space Learning between Images and Long Texts. Transactions of Information Processing Society of Japan, Vol. 52, No. 12, pp.3496-3503, 2011. (In Japanese)

2010

• 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, pp.1269–1281, 2010.
• Tatsuya Harada, Hideki Nakayama, Yasuo Kuniyoshi, and Nobuyuki Otsu. Image Annotation and Retrieval for Weakly Labeled Images using Conceptual Learning. New Generation Computing, Vol.28, pp.277-298, 2010.
• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Dense Sampling Low-Level Statistics of Local Features. IEICE Transactions on Information and Systems, Vol.E93-D, No.7, pp.1727-1736, 2010.
• Tatsuya Harada, Hideki Nakayama, and Yasuo Kuniyoshi. Improving Local Descriptors by Embedding Global and Local Spatial Information. In The 11th European Conference on Computer Vision (ECCV 2010), 2010. (acceptance rate: 27.7%)
• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Evaluation of Dimensionality Reduction Methods for Image Auto-Annotation. In The British Machine Vision Conference (BMVC 2010), 2010. (acceptance rate 33.6%)
• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Global Gaussian Approach for Scene Categorization Using Information Geometry. In The Twenty-Third IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010), 2010. (acceptance rate: 26.8%)
• Yoshitaka Ushiku, Tatsuya Harada, and Yasuo Kuniyoshi. Improvement of Image Similarity Measures for Image Browsing and Retrieval Via Latent Space Learning between Images and Long Texts. In 2010 The International Conference on Image Processing (ICIP 2010), pp.2365-2368, 2010.
• 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)
• Takatsugu Kuriyama, Takashi Shibuya, Tatsuya Harada and Yasuo Kuniyoshi. Learning Interaction Rules through Compression of Sensori-Motor Causality Space. 10th International Conference on Epigenetic Robotics (EPIROB 2010), pp.57-64, 2010.
• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Image Annotation and Retrieval Method for Large-Scale Web Images. The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J93-D, No.8, pp.1267- 1280, 2010. (In Japanese)
• Rui Fukui, Hiroshi Morishita, Tatsuya Harada, Taketoshi Mori, and Tomomasa Sato. A Human-Symbiotic Ceiling Mobile Robot Platform Utilizing Permanent Magnet Inductive Traction Method. Journal of Robotics Society of Japan, Vol.28, No.9, pp.1120-1130, 2010. (In Japanese)
• Tatsuya Harada, Hideki Nakayama, and Yasuo Kuniyoshi. AI Goggles: Wearable Image Annotation and Retrieval System with Online Learning. The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol. J93-D, No.6, pp.857-869, 2010. (In Japanese)

2009

• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Canonical Contextual Distance for Large-Scale Image Annotation and Retrieval. LS-MMRM '09: Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, pp.3--10, 2009.
• Takashi Shibuya, Tatsuya Harada, and Yasuo Kuniyoshi. Causality Quantification and its Applications: Structuring and Modeling of Multivariate Time Series. Proc. of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.787-795, 2009. (acceptance rate: 19.6%)
• Tatsuya Harada, Hideki Nakayama, and Yasuo Kuniyoshi. Image Annotation and Retrieval Based on Efficient Learning of Contextual Latent Space. 2009 IEEE International Conference on Multimedia and Expo (ICME 2009), pp. 858-861, 2009.
• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Dense Sampling Low-Level Statistics of Local Features. ACM International Conference on Image and Video Retrieval (CIVR 2009), CD-ROM, 76, 2009.
• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. AI Goggles: Real-time Description and Retrieval in the RealWorld with Online Learning. Sixth Canadian Conference on Computer and Robot Vision (CRV 2009), pp. 184-191, 2009.
• Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Scene Classification using Generalized Local Correlation. IAPR Conference on Machine Vision Applications (MVA), pp.195-198, 2009.
• 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, pp.9-12, 2009.
• Yuki Fujimori, Yoshiyuki Ohmura, Tatsuya Harada, and Yasuo Kuniyoshi. Wearable Motion Capture Suit with Full-body Tactile Sensors. Proc. of the 2009 IEEE International Conference on Robotics and Automation (ICRA 2009), pp.3186-3193, 2009. (2009 IEEE Robotics and Automation Society Japan Chapter Young Award)
• Tatsuya Harada, Asako Kanezaki, and Yasuo Kuniyoshi. The Development of Color CHLAC Features for Object Exploration in 3D Map. Journal of Robotics Society of Japan, Vol.27, No.7, pp.749-758, 2009. (In Japanese)
• Tatsuya Harada, Toshitaka Koyama, Yasuhito Sano, Toshiyuki Ando, and Yasuo Kuniyoshi. Fast Scene Recognition from Moving Vehicle Using HLAC Features. Journal of Robotics Society of Japan, Vol.27, No.10, pp.1173-1182, 2009. (In Japanese)

2008

• Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi, and Nobuyuki Otsu. High-Performance Image Annotation and Retrieval for Weakly Labeled Images using Latent Space Learning. Advances in Multimedia Information Processing - PCM 2008, pp.601-610, 2008.
• Naoki Shibuya, Yasuyuki Shimohata, Tatsuya Harada and Yasuo Kuniyoshi. Smart Extraction of Desired Object from Color-Distance Image with User’s Tiny Scribble. Advances in Multimedia Information Processing - PCM 2008, pp.601-610, 2008.

2007

• Tatsuya Harada, Taketoshi Mori and Tomomasa Sato. Development of Tiny Orientation Estimation Device under Motion and Magnetic Disturbance. The International Journal of Robotics Research, Vol.26, No.6, pp.547-559, 2007.
• Tatsuya Harada, Tomoaki Gyota, Yasuo Kuniyoshi and Tomomasa Sato. Development of Wireless Networked Tiny Orientation Device for Wearable Motion Capture and Measurement of Walking Around, Walking Up and Down, and Jumping Tasks. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), pp.4135-4140, 2007.
• Rie Matsumoto, Hideki Nakayama, Tatsuya Harada and Yasuo Kuniyoshi. Journalist Robot: Robot System Making News Articles from Real World. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), pp.1234-1241, 2007. (2007 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'07) Conference Best Student Paper Award Finalist), (2007 IEEE Robotics and Automation Society Japan Chapter Young Award (IROS'07))
• Tomomasa Sato, Hideyuki Kubodera, Tatsuya Harada, and Taketoshi Mori. Modeling, Recognition and Supporting Trajectory Generation of Daily Object-handling based on Acquired Motion Models. Journal of Robotics Society of Japan, Vol.25, No.1, pp.1-11, 2007. (In Japanese)