Copyright© HARADA Lab. 2013-. All Rights Reserved.
HARADA Lab.

Research

研究

画像アノテーション
Image Annotation
大規模画像認識
Large-Scale Visual Recognition
画像生成
Image Generation
三次元情報理解
3D World Recognition

CDマッティング
CD Matting
マルチモーダル認識
Multi-modal Contents Recognition and Retrieval
AIゴーグル
AI Goggles
因果
Causality
自然言語理解
Natural Language Understanding


Publication

実績

2016

  1. Asako Kanezaki. RotationNet: Learning Object Classification Using Unsupervised Viewpoint Estimation. arXiv preprint arXiv:1603.06208. (PDF DOWNLOAD 2.02MB) (SUPPLEMENTAL DATA DOWNLOAD 57.46MB)
  2. Andrew Shin, Masataka Yamaguchi, Katsunori Ohnishi, Tatsuya Harad. Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning. arXiv preprint arXiv:1603.09046. (PDF DOWNLOAD 9.80MB)
  3. 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 DOWNLOAD 12.52MB) (DATASET)
  4. 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 DOWNLOAD 2.44MB)
  5. 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 DOWNLOAD 1.43MB) (SUPPLEMENTAL DATA DOWNLOAD 0.02MB)
  6. Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada. Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset. The British Machine Vision Conference (BMVC), accepted, 2016..
  7. Atsushi Kanehira, Andrew Shin, Tatsuya Harada. True-negative Label Selection for Large-scale Multi-label Learning. 23rd International Conference on Pattern Recognition (ICPR), 2016, oral.
  8. Andrew Shin, Katsunori Ohnishi, Tatsuya Harada. Beyond Caption To Narrative: Video Captioning With Multiple Sentences. ICIP, 2016.
  9. Tomoaki Saito, Asako Kanezaki, Tatsuya Harada. IBC127: Video Dataset for Fine-grained Bird Classification. 2016 IEEE International Conference on Multimedia and Expo (ICME 2016), 2016.
  10. Shohei Yamamoto, Tatsuya Harada. Video Generation Using 3D Convolutional Neural Network. ACM Multimedia, 2016. (short, acceptance rate: 30%).
  11. Katsunori Ohnishi, Masatoshi Hidaka, Tatsuya Harada. Improved Dense Trajectory with Cross Streams. ACM Multimedia, 2016. (short, acceptance rate: 30%). (PDF DOWNLOAD 0.53MB) (Trained CNN models on HMDB51)
  12. Tetsuaki Mano, Hiroaki Yamane, and Tatsuya Harada. Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis. ACM Multimedia, 2016. (short, acceptance rate: 30%). (PDF link)

2015

  1. 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. (PDF DOWNLOAD 0.56MB)
  2. 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. (PDF DOWNLOAD 0.35MB)
  3. Hiroharu Kato and Tatsuya Harada. Image Reconstruction from Bag-of-Visual-Words. arXiv preprint arXiv:1505.05190. (PDF DOWNLOAD 3.45MB)
  4. 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. (PDF DOWNLOAD 2.37MB) (CODE)
  5. 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. (PDF DOWNLOAD 0.37MB)
  6. 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. (PDF DOWNLOAD 0.84MB) (SUPPLEMENTAL DATA DOWNLOAD 5.10MB)
  7. Hiroharu Kato and Tatsuya Harada. Visual Language Modeling on CNN Image Representations. arXiv preprint arXiv:1511.02872. (PDF DOWNLOAD 3.85MB)
  8. 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.
  9. 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

  1. 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. (PDF DOWNLOAD 0.54MB) (SUPPLEMENTAL DATA DOWNLOAD 0.50MB) (CODE DOWNLOAD)
  2. 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. (PDF DOWNLOAD 0.63MB) (CODE DOWNLOAD)
  3. 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. (PDF DOWNLOAD 2.95MB)
  4. 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. (PDF DOWNLOAD 0.53MB) (SUPPLEMENTAL DATA DOWNLOAD 0.05MB) (CODE)
  5. 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. (PDF DOWNLOAD 0.43MB)
  6. 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 %). (PDF DOWNLOAD 3.86MB)
  7. 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 %). (PDF DOWNLOAD 12.14MB)
  8. 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. (PDF DOWNLOAD 1.45MB)
  9. 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.
  10. 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

  1. 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%) (PDF DOWNLOAD 0.47MB)
  2. 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%) (PDF DOWNLOAD 0.58MB)
  3. 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 %) (PDF DOWNLOAD 1.29MB) (DATASET)
  4. 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 . (PDF LINK)
  5. 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. (PDF LINK)
  6. 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. .
  7. 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.
  8. 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.
  9. 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

  1. Yuya Yamashita, Tatsuya Harada, and Yasuo Kuniyoshi. Causal Flow. IEEE Transactions on Multimedia, Vol.3, No.3, pp.619-629, 2012. (PDF DOWNLOAD 3.05MB)
  2. 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%) (PDF DOWNLOAD 0.69MB)
  3. 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%) (PDF DOWNLOAD 7.29MB)
  4. 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.
  5. 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. (PDF DOWNLOAD 4.14MB)
  6. 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

  1. Takashi Shibuya, Tatsuya Harada, and Yasuo Kuniyoshi. Reliable index for measuring information flow. Phys. Rev. E 84, 061109 (2011). (PDF LINK)
  2. 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%) (PDF DOWNLOAD 0.65MB)
  3. 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) (PDF DOWNLOAD 1.77MB)
  4. 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%) (PDF DOWNLOAD 1.17MB)
  5. 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%) (PDF DOWNLOAD 2.57MB)
  6. 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. (PDF DOWNLOAD 1.39MB)
  7. 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%) (PDF DOWNLOAD 1.54MB)
  8. 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 DOWNLOAD 6.81MB)
  9. 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) (PDF DOWNLOAD 2.05MB)
  10. 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 DOWNLOAD 0.50MB)
  11. 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

  1. 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. (PDF DOWNLOAD 2.73MB)
  2. 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. (PDF DOWNLOAD 1.65MB)
  3. 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.
  4. 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%) (PDF DOWNLOAD 0.32MB)
  5. 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%) (PDF DOWNLOAD 0.38MB)
  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%) (PDF DOWNLOAD 0.39MB)
  7. 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. (PDF DOWNLOAD 0.63MB)
  8. 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) (PDF DOWNLOAD 0.75MB)
  9. 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. (PDF DOWNLOAD 1.13MB)
  10. 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)
  11. 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)
  12. 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

  1. 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. (PDF DOWNLOAD 0.73MB)
  2. 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%) (PDF DOWNLOAD 0.70MB)
  3. 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. (PDF DOWNLOAD 0.28MB)
  4. 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. (PDF DOWNLOAD 1.71MB)
  5. 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.
  6. Hideki Nakayama, Tatsuya Harada, and Yasuo Kuniyoshi. Scene Classification using Generalized Local Correlation. IAPR Conference on Machine Vision Applications (MVA), pp.195-198, 2009.
  7. 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. (PDF DOWNLOAD 1.05MB)
  8. 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) (PDF DOWNLOAD 1.72MB)
  9. 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)
  10. 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

  1. 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.
  2. 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

  1. 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.
  2. 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.
  3. 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))
  4. 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)

Beyond Human Intelligence
Based on Cyber-Physical Systems

人間の知能を超えた実世界知能システム

Our goal is to invent intelligent systems beyond human intelligence by combining useful but infinite information in the physical space with huge amount of data and powerful computational resources in the cyber space. To tackle this challenging problem, we utilize all resources in the area of computer science including mathematical basis and robotics.
実世界知能の理論的基礎として、確率統計的手法や多変量解析手法などを用いた情報数理的な立場から、パターン情報処理、及び知能情報処理の原理や仕組みを明らかにし、具体的な手法や応用について研究を行っています

News

ニュース

2016

2016-10-11
国際会議ACMMM'16に論文3本が採択されました
Three papers have been accepted by ACMMM'16
2016-10-08
国際会議BMVC'16に論文が採択されました
Our paper has been accepted by BMVC'16
2016-06-26
当研究室のチームがVisual Question Answering (VQA) Challengeのabstract scene taskにおいて優勝しました。
Our team wins 1st place in the abstract scene task at Visual Question Answering (VQA) Challenge 2016.
2016-04-01
当研究室に牛久祥孝講師が着任されました。
Lecturer Yoshitaka Ushiku was assigned.
2016-03-05
国際会議CVPR'16に論文3本が採択されました
Three papers have been accepted by CVPR'16

Members

メンバー

Professor教授
Tatsuya Harada
Lecturer講師
Yoshitaka Ushiku
Assistant Professor助教
Mamoru Nakamura
Staff職員
Aoi Kaneko
Research Workers研究員
Sun Chao
Tang Yujin
Zhang Dexuan
Ph.D Students博士課程
D3
Yusuke Mori
D2
Andrew Shin
D2
Huang KaiKai
D2
Masatoshi Hidaka
D2
Yusuke Mukuta
D1
Atsushi Kanehira
D1
Haowei Yeh
D1
Hiroharu Kato
D1
Takuya Nanri
Master Students修士課程
M2
Katsunori Ohnishi
M2
Masataka Yamaguchi
M2
Qishen Ha
M1
Akane Iseki
M1
Akio Hayakawa
M1
Hanna Tseran
M1
Hiroki Murakami
M1
Hiroyuki Ishihara
M1
Kazuma Takata
M1
Keisuke Fukuta
M1
Kohei Watanabe
M1
Kuniaki Saito
M1
Marian Plivelic
M1
Shohei Yamamoto
M1
Takeshi Tsukiji
M1
Tomoaki Saito
M1
Yan Tennin
M1
Yuichiro Kikura
M1
Yuji Tokozume
Undergraduate Students学部生
B4
Hideki Okada
B4
Takayoshi Takayanagi
B4
Takumi Karasawa
B4
Teppei Kanayama
B4
Ton Kou
B4
Yuki Hayashi
B4
Yusuke Nakajima
OB/OG
Asako Kanezaki
Chie Kamada
Hideyuki Wada
Hiroaki Yamane
Ivan Sanchez Padilla
Ken Miura
Koki Inomata
Koki Yasumoto
Le Kien Trung
Masaru Mizuochi
Mayuko Yoshitake
Mellet Armand Michel
Naoyuki Gunji
Purushwalkam Senthil
Qianru Sun
Rivard Stuart
Ryo Takeda
Seira Araki
Takayuki Higuchi
Takumi Inoue
Tetsuaki Mano
Yuichiro Tsuchiya
Yuta Igawa

Teaching

授業

Contact

連絡先

〒113-8656
7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan
Engineering Building #2 8F 81C1 Harada Lab.

Tel: +81-3-5841-1650
Mail: staff(at)mi.t.u-tokyo.ac.jp
〒113-8656
東京都文京区本郷7-3-1
工学部2号館 81C1号室 原田研究室

Tel: 03-5841-1650
Mail: staff(at)mi.t.u-tokyo.ac.jp