| 1. |
Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Analytics of Multimodal Learning Logs for Page Difficulty Estimation, The 10th International Conference on Learning Analytics & Knowledge (LAK20), 2020.03. |
| 2. |
Akira Onoue, Masanori Yamada, Atsushi Shimada, Tsubasa Minematsu, , Rin-ichiro Taniguchi, Social Knowledge Mapping Tool for Interactive Visualization of Learner's Knowledge, The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK20 Data Challenge), 2020.03. |
| 3. |
Tetsuya Shiino, Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, What Activity Contributes to Academic Performance?, The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK20 Data Challenge), 2020.03. |
| 4. |
Takuro Owatari, Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Evaluating the Accuracy of Real-time Learning Analytics in Student Activities, The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK20 Data Challenge), 2020.03. |
| 5. |
Keita Nakayama, Atsushi Shimada, Tsubasa Minematsu, Masanori Yamada, Rin-ichiro Taniguchi, Recommendation of Personalized Learning Materials based on Learning History and Campus Life Sensing, The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK20 Data Challenge), 2020.03. |
| 6. |
Takashi Ishikawa, Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Automatic Retrieval of Learning Contents Related to Quizzes for Supporting Students’ Enhanced Reviews, The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK20 Data Challenge), 2020.03. |
| 7. |
Sugino Nicolas Alejandro, Tsubasa Minematsu, Atsushi Shimada, Takashi Shibata, Rin-ichiro Taniguchi, Eiji Kaneko, Hiroyoshi Miyano, Semi-automatic learning framework combining object detection andbackground subtraction, 15th International Conference on Computer Vision Theory and Applications (VISAPP 2020), 2020.02. |
| 8. |
Tomohiro Hamamoto, Hideaki Uchiyama, Atsushi Shimada, Rin-ichiro Taniguchi, 3D Plant Growth Prediction via Image-to-Image Translation, 15th International Conference on Computer Vision Theory and Applications (VISAPP 2020), 2020.02. |
| 9. |
Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, , Rin-ichiro Taniguchi, Generating a Consistent Global Map under Intermittent Mapping Conditions for Large-Scale Vision-Based Navigation, 15th International Conference on Computer Vision Theory and Applications (VISAPP 2020), 2020.02. |
| 10. |
Nao Akayama, Daisaku Arita, Atsushi Shimada, Rin-ichiro Taniguchi, SALATA: A Web Application for Visualizing Sensor Information in Farm Fields, 9th International Conference on Sensor Networks (SENSORNETS 2020), 2020.02. |
| 11. |
Ami Miyake, Hideaki Uchiyama, Atsushi Shimada, Rin-ichiro Taniguchi, PlanAR: Accurate and Stable 3D Positioning System via Interactive Plane Reconstruction for Handheld Augmented Reality, 15th International Conference on Computer Vision Theory and Applications (VISAPP 2020), 2020.02. |
| 12. |
Hayato Onizuka, Diego Thomas, Zehra Hayirci, Akihiro Sugimoto, Hideaki Uchiyama, Rin-ichiro Taniguchi, Regression of 3D human body shapes from a single image in a tetrahedral volume, The 15th Joint Workshop on Machine Perception and Robotics 2019 (MPR 2019), 2019.11. |
| 13. |
Nicolas Sugino, Tsubasa Minematsu, Atsushi Shimada, Takashi Shibata, Rin-ichiro Taniguchi, Combination of background subtraction and object detection method for semi-automatic incremental learning, The 15th Joint Workshop on Machine Perception and Robotics 2019 (MPR 2019), 2019.11. |
| 14. |
Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Simple background subtraction constraint in weakly supervised learning for background subtraction networks, The 15th Joint Workshop on Machine Perception and Robotics 2019 (MPR 2019), 2019.11. |
| 15. |
Hayato Onizuka, Diego Thomas, Zehra Hayirci, Akihiro Sugimoto, Hideaki Uchiyama, Rin-ichiro Taniguchi, Regression of 3D human body shapes from a single image in a tetrahedral volume, The 15th Joint Workshop on Machine Perception and Robotics 2019 (MPR 2019), 2019.11. |
| 16. |
Nicolas Sugino, Tsubasa Minematsu, Atsushi Shimada, Takashi Shibata, Rin-ichiro Taniguchi, Combination of background subtraction and object detection method for semi-automatic incremental learning, The 15th Joint Workshop on Machine Perception and Robotics 2019 (MPR 2019), 2019.11. |
| 17. |
Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Simple background subtraction constraint in weakly supervised learning for background subtraction networks, The 15th Joint Workshop on Machine Perception and Robotics 2019 (MPR 2019), 2019.11. |
| 18. |
Keita Nakayama, Atsushi Shimada, Tsubasa Minematsu, Yuta Taniguchi, Rin-ichiro Taniguchi, K-TIPS:Knowledge extension based on Tailor-made Information Provision System, 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019), 2019.11. |
| 19. |
Akira Onoue, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, Clustering of Learners Based on Knowledge Maps, 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019), 2019.11. |
| 20. |
Keita Nakayama, Atsushi Shimada, Tsubasa Minematsu, Yuta Taniguchi, Rin-ichiro Taniguchi, K-TIPS:Knowledge extension based on Tailor-made Information Provision System, 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019), 2019.11. |
| 21. |
Akira Onoue, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, Clustering of Learners Based on Knowledge Maps, 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019), 2019.11. |
| 22. |
Rin-ichiro Taniguchi, Daisaku Arita, Atsushi Shimada, Masanori Yamada, Yoshiko Goda, Ryota Yamamoto, Takashi Okayasu, INTEGRATED CONTEXTUAL LEARNING ENVIRONMENTS WITH SENSOR NETWORK FOR CROP CULTIVATION EDUCATION: CONCEPT AND DESIGN, 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019), 2019.11. |
| 23. |
Rin-ichiro Taniguchi, Daisaku Arita, Atsushi Shimada, Masanori Yamada, Yoshiko Goda, Ryota Yamamoto, Takashi Okayasu, INTEGRATED CONTEXTUAL LEARNING ENVIRONMENTS WITH SENSOR NETWORK FOR CROP CULTIVATION EDUCATION: CONCEPT AND DESIGN, 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019), 2019.11. |
| 24. |
Hayato Onizuka, Diego Thomas, Hideaki Uchiyama, Rin-ichiro Taniguchi, Landmark-guided deformation transfer of template facial expressions for automatic generation of avatar blendshapes, The 2nd Workshop on 3D Reconstruction in the Wild (3DRW2019) , 2019.10. |
| 25. |
Hayato Onizuka, Diego Thomas, Hideaki Uchiyama, Rin-ichiro Taniguchi, Landmark-guided deformation transfer of template facial expressions for automatic generation of avatar blendshapes, The 2nd Workshop on 3D Reconstruction in the Wild (3DRW2019) , 2019.10. |
| 26. |
Atsushi Shimada, Rin-ichiro Taniguchi, On-Site Lecture Support Tools Using a Digital Learning Environment, EDUCAUSE Annual Conference 2019 (EDUCAUSE 2019), 2019.10. |
| 27. |
Xue Yu, Diego Thomas, Frederic Rayar, Hideaki Uchiyama, Rin-ichiro Taniguchi, Blended-Keyframes for Mobile Mediated Reality Applications, IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2019), 2019.10. |
| 28. |
Atsushi Shimada, Rin-ichiro Taniguchi, On-Site Lecture Support Tools Using a Digital Learning Environment, EDUCAUSE Annual Conference 2019 (EDUCAUSE 2019), 2019.10. |
| 29. |
Xue Yu, Diego Thomas, Frederic Rayar, Hideaki Uchiyama, Rin-ichiro Taniguchi, Blended-Keyframes for Mobile Mediated Reality Applications, IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2019), 2019.10. |
| 30. |
Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Simple background subtraction constraint for weakly supervised background subtraction network, 16th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2019.09. |
| 31. |
Diego Thomas, Akihiro Sugimoto, Ekaterina Sirazitdinova, Rin-ichiro Taniguchi, Revisiting Depth Image Fusion with Variational Message Passing, International Conference on 3D Vision (3DV 2019), 2019.09. |
| 32. |
Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Simple background subtraction constraint for weakly supervised background subtraction network, 16th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2019.09. |
| 33. |
Diego Thomas, Akihiro Sugimoto, Ekaterina Sirazitdinova, Rin-ichiro Taniguchi, Revisiting Depth Image Fusion with Variational Message Passing, International Conference on 3D Vision (3DV 2019), 2019.09. |
| 34. |
Ahmed Gomaa, Moataz Abdelwahab, Mohammed Zahhad, Tsubasa Minematsu, Rin-ichiro Taniguchi, Traffic Information Analysis using UAV videos, 第22回 画像の認識・理解シンポジウム (MIRU2019), 2019.08. |
| 35. |
Atsushi Shimada, Kousuke Mouri, Yuta Taniguchi, Hiroaki Ogata, Rin-ichiro Taniguchi, Shin'ichi Konomi, Optimizing Assignment of Students to Courses based on Learning Activity Analytics, 12th International Conference on Educational Data Mining (EDM 2019), 2019.07. |
| 36. |
Atsushi Shimada, Kousuke Mouri, Yuta Taniguchi, Hiroaki Ogata, Rin-ichiro Taniguchi, Shin'ichi Konomi, Optimizing Assignment of Students to Courses based on Learning Activity Analytics, 12th International Conference on Educational Data Mining (EDM 2019), 2019.07. |
| 37. |
Atsushi Shimada, Kousuke Mouri, Yuta Taniguchi, Hiroaki Ogata, Rin-ichiro Taniguchi, Shin'ichi Konomi, Optimizing Assignment of Students to Courses based on Learning Activity Analytics, 12th International Conference on Educational Data Mining (EDM 2019), 2019.07. |
| 38. |
Roland Sireyjol, Patrick Granberg, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, Identifying solar panel defects with a CNN, 14th International Conference on Quality Control by Artificial Vision, 2019.05. |
| 39. |
Roland Sireyjol, Patrick Granberg, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, Identifying solar panel defects with a CNN, 14th International Conference on Quality Control by Artificial Vision, 2019.05. |
| 40. |
Roland Sireyjol, Patrick Granberg, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, Identifying solar panel defects with a CNN, 14th International Conference on Quality Control by Artificial Vision, 2019.05. |
| 41. |
Roland Sireyjol, Patrick Granberg, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, Identifying solar panel defects with a CNN, 14th International Conference on Quality Control by Artificial Vision, 2019.05. |
| 42. |
Atsushi Shimada, Takuro Owatari, Tsubasa Minematsu, Rin-Ichiro Taniguchi, Learning Activity Analytics across Courses, Society for Information Technology & Teacher Education International Conference 2019, 2019.03. |
| 43. |
Keita Nakayama, Masanori Yamada, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, Learning Support System for Providing Page-wise Recommendation in e-Textbooks, Society for Information Technology & Teacher Education International Conference 2019, 2019.03. |
| 44. |
Tetsuya Shiino, Atsushi Shimada, Tsubasa Minematsu, Kohei Hatano, Yuta Taniguchi, Shin’ichi Konomi, Rin-ichiro Taniguchi, Page-wise Difficulty Level Estimation using e-Book Operation Logs, The 9th International Conference on Learning Analytics & Knowledge (LAK19), 2019.03. |
| 45. |
Akira Onoue, Masanori Yamada, Atsushi Shimada, Rin-ichiro Taniguchi, The Integrated Knowledge Map for Surveying Students’ Learning, The Society for Information Technology and Teacher Education (SITE),, 2019.03. |
| 46. |
Takuro Owatari, Atsushi Shimada, Tsubasa Minematsu, Rin-ichiro Taniguchi, How Students Flip Pages during Lectures? -Comparison between Power Users and Normal Users-, LAK19 Data Challenge, 2019.03. |
| 47. |
Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi, Analytics of the relationship between quiz scores and reading behaviors in face-to-face courses, LAK19 Data Challenge, 2019.03. |
| 48. |
Tsubasa Minematsu, Kaori Tamura, Atsushi Shimada, Shin'ichi Konomi, Rin-ichiro Taniguchi, Analytics of Reading Patterns Based on Eye Movements in an e-Learning System, Society for Information Technology & Teacher Education International Conference, 2019.03. |
| 49. |
So Tashiro, Hideaki Uchiyama, Diego Thomas, Rin-ichiro Taniguchi, 3D positioning system based on one-handed thumb interactions for 3D annotation placement, IEEE Virtual Reality, 2019.03. |
| 50. |
Masashi Mishima, Hideaki Uchiyama, Diego Gabriel Francis Thomas, Rin-Ichiro Taniguchi, Rafael Roberto, João Paulo Lima, Veronica Teichrieb, RGB-D SLAM based incremental cuboid modeling, 15th European Conference on Computer Vision, ECCV 2018, 2019.01, This paper present a framework for incremental 3D cuboid modeling combined with RGB-D SLAM. While performing RGB-D SLAM, planes are incrementally reconstructed from point clouds. Then, cuboids are detected in the planes by analyzing the positional relationships between the planes; orthogonality, convexity, and proximity. Finally, the position, pose and size of a cuboid are determined by computing the intersection of three perpendicular planes. In addition, the cuboid shapes are incrementally updated to suppress false detections with sequential measurements. As an application of our framework, an augmented reality based interactive cuboid modeling system is introduced. In the evaluation at a cluttered environment, the precision and recall of the cuboid detection are improved with our framework owing to stable plane detection, compared with a batch based method.. |
| 51. |
Clément Glédel, Hideaki Uchiyama, Yuji Oyamada, Rin-Ichiro Taniguchi, Texture synthesis for stable planar tracking, 24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018, 2018.11, We propose a texture synthesis method to enhance the trackability of a target planar object by embedding natural features into the object in the object design process. To transform an input object into an easy-to-track object in the design process, we extend an inpainting method for naturally embedding the features into the texture. First, a feature-less region in an input object is extracted based on feature distribution based segmentation. Then, the region is filled by using an inpainting method with a feature-rich region searched in an object database. By using context based region search, the inpainted region can be consistent in terms of the object context while improving the feature distribution.. |
| 52. |
Michitaka Yoshida, Akihiko Torii, Masatoshi Okutomi, Kenta Endo, Yukinobu Sugiyama, Rin-ichiro Taniguchi, Hajime Nagahara, Joint optimization for compressive video sensing and reconstruction under hardware constraints, 4th International Workshop on Image Sensors and Imaging Systems (IWISS2018), 2018.11. |
| 53. |
Akira Onoue, Atsushi Shimada, Maiya Hori, Rin-Ichiro Taniguchi, Early change detection based on Spotrank, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018, 2018.10, This paper proposes a new method of early change detection for people flow analysis. Some conventional methods often focus on a single location (spot) to demonstrate how the number of people changes over time. In contrast, our proposed method takes into account the links between the spots to grasp a foretaste of congestion of a specific spot as early as possible. The main advantage of the proposed method is that it not only describes the characteristics of each spot, but also the relationships among spots, i.e., whether the connectivities are strong/weak. We introduce an idea of PageRank, which is based on a centrality of graph theory and extend that idea to represent the amount of people flow among spots. We call the extended method “SpotRank”. SpotRank assigns an importance score to each spot. The score of a particular spot is calculated by the number of paths and the amount of people flow from other spots. Therefore, the more paths and people flow, the importance score (ranking) increases. The proposed method begins with the calculation of SpotRank every 10 min, followed by change detection, i.e., how much the ranking changes over time. In our experiments, we measured people flow using Wi-Fi packet sensors for a period of over 16 weeks. We confirmed the effectiveness of the proposed method, which successfully grasped a foretaste of congestion at a restaurant in our university.. |
| 54. |
Kazuki Nishiguchi, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Evaluation of relative pose estimation based on generalized camera model, The 14th Joint Workshop on Machine Perception and Robotics (MPR2018), 2018.10. |
| 55. |
Masashi Mishima, Hideaki Uchiyama, Rin-ichiro Taniguchi, Incremental Cuboid Modeling Using RGB-D SLAM, The 14th Joint Workshop on Machine Perception and Robotics (MPR2018), 2018.10. |
| 56. |
Nicolas Olivier, Hideaki Uchiyama, Masashi Mishima, Diego Gabriel Francis Thomas, Rin-Ichiro Taniguchi, Rafael Roberto, Joao Paulo Lima, Veronica Teichrieb, Live structural modeling using RGB-D SLAM, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, 2018.09, This paper presents a method for localizing primitive shapes in a dense point cloud computed by the RGB-D SLAM system. To stably generate a shape map containing only primitive shapes, the primitive shape is incrementally modeled by fusing the shapes estimated at previous frames in the SLAM, so that an accurate shape can be finally generated. Specifically, the history of the fusing process is used to avoid the influence of error accumulation in the SLAM. The point cloud of the shape is then updated by fusing the points in all the previous frames into a single point cloud. In the experimental results, we show that metric primitive modeling in texture-less and unprepared environments can be achieved online.. |
| 57. |
Shunsuke Sakurai, Hideaki Uchiyama, Atsushi Shimada, Rin-ichiro Taniguchi, Deep Plant Growth Prediction, COMPUTER VISION PROBLEMS IN PLANT PHENOTYPING (CVPPP 2018), 2018.09. |
| 58. |
Yoshida Michitaka, Torii Akihiko, Okutomi Masatoshi, Endo Kenta, Sugiyama Yukinobu, Taniguchi Rin-ichiro, Nagahara Hajime, Joint optimization for compressive video sensing and reconstruction under hardware constraints, The European Conference on Computer Vision (ECCV2018), 2018.09. |
| 59. |
Yao Shih-Hsuan, Diego Thomas, Akihiro Sugimoto, Shang-Hong Lai, Rin-ichiro Taniguchi, SegmentedFusion: 3D human body reconstruction using stitched bounding boxes, IEEE International Conference on 3D Vision (3DV 2018), 2018.09. |
| 60. |
Maiya Hori, Keita Nakayama, Atsushi Shimada, Rin-ichiro Taniguchi, Simulation of Energy Management by Controlling Crowd Behavior, 20th International Conference, HCI International 2018, 2018.07, 2018.07. |
| 61. |
Daisaku Arita, Yoshiki Hashimoto, Atsushi Shimada, Hideaki Uchiyama, Rin-ichiro Taniguchi, Visualization of Farm Field Information Based on Farm Worker Activity Sensing, 20th International Conference, HCI International 2018, 2018.07, 2018.07. |
| 62. |
Atsushi Shimada, Fumiya Okubo, Yuta Taniguchi, Hiroaki Ogata, Rin-ichiro Taniguchi, Shin’ichi Konomi, Relation Analysis between Learning Activities on Digital Learning System and Seating Area in Classrooms, 11th International Conference on Educational Data Mining, 2018.07. |
| 63. |
Rin-ichiro TANIGUCHI, Developing Social Services based on Cyber Physical System, 7th International Conference on Informatics, Electronics and Vision, 2018.06. |
| 64. |
Rafael Roberto, João Paulo Lima, Hideaki Uchiyama, Clemens Arth, Veronica Teichrieb, Rin-Ichiro Taniguchi, DIeter Schmalstieg, Incremental Structural Modeling Based on Geometric and Statistical Analyses, 18th IEEE Winter Conference on Applications of Computer Vision, WACV 2018, 2018.05, Finding high-level semantic information from a point cloud is a challenging task, and it can be used in various applications. For instance, it is useful to compactly represent the scene structure and efficiently understand the scene context. This task is even more challenging when using a hand-held monocular visual SLAM system that outputs a noisy sparse point cloud. In order to tackle this issue, we propose an incremental primitive modeling method using both geometric and statistical analyses for such point cloud. The main idea is to select only reliably-modeled shapes by analyzing the geometric relationship between the point cloud and the estimated shapes. Besides that, a statistical evaluation is incorporated to filter wrongly-detected primitives in a noisy point cloud. As a result of this processing, our approach largely improved precision when compared with state of the art methods. We also show the impact of segmenting and representing a scene using primitives instead of a point cloud.. |
| 65. |
Masashi Mishima, Hideaki Uchiyma, Diego Thomas, Rin-ichiro Taniguchi, Accurate Structure Detection on Point Cloud, The 12th International Workshop on Information Search, Integration, and Personalization (ISIP2018), 2018.05. |
| 66. |
Hayato Onizuka, Diego Thomas, Hideaki Uchiyama, Atsushi Shimada, Rin-ichiro Taniguchi, Automatic rigging of facial avatars from a template, The 12th International Workshop on Information Search, Integration, and Personalization (ISIP2018), 2018.05. |
| 67. |
Roland Sireyjol, Atsushi Shimada, Tsubasa Minematsu, Hajime Nagahara, Rin-Ichiro Taniguchi, CNN based approach for Transparent Object Classification, The 12th International Workshop on Information Search, Integration, and Personalization (ISIP2018), 2018.05. |
| 68. |
Eric Godard, Atsushi Shimada, Maiya Hori, Rin-Ichiro Taniguchi, Prediction of congestion based on Wi-Fi packet sensing, The 12th International Workshop on Information Search, Integration, and Personalization (ISIP2018), 2018.05. |
| 69. |
Maiya Hori, Naoya Yamaguchi, Kei Hirose, Shigeru Takano, Rin-Ichiro Taniguchi, Sustainable Social System for Small Electricity Demand Community, The 12th International Workshop on Information Search, Integration, and Personalization (ISIP2018), 2018.05. |
| 70. |
郭 熠博, 島田 敬士, 内山 英昭, 馬 超, 長原 一, 谷口 倫一郎, CNN for face dection with thermal image, 電気学会知覚情報／次世代産業システム合同研究会, 2018.03. |
| 71. |
Yoshiki Hashimoto, Daisaku Arita, Atsushi Shimada, Hideaki Uchiyama, Rin-ichiro Taniguchi, Visualization of spatial distribution of tomato yields based on action recognition, International Workshop on Frontiers of Computer Vision (IW-FCV2018), 2018.02. |
| 72. |
Roland Sireyjol, Atsushi Shimada, Tsubasa Minematsu, Hajime Nagahara, Rin-ichiro Taniguchi, How does CNN grasp transparent object features?, International Workshop on Frontiers of Computer Vision (IW-FCV2018), 2018.02. |
| 73. |
Shunsuke Sakurai, Hideaki Uchiyama, Atsushi Shimada, Daisaku Arita, Rin-ichiro Taniguchi, Two-step Transfer Learning for Semantic Plant Segmentation, 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM2018), 2018.01. |
| 74. |
Hideaki Uchiyama, Shunsuke Sakurai, Yoshiki Hashimoto, Atsutoshi Hanasaki, Daisaku Arita, Takashi Okayasu, Atsushi Shimada, Rin-ichiro Taniguchi, Sensing technologies for advanced smart agricultural systems, International Conference on Sensing Technology (ICST2017), 2017.12. |
| 75. |
Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-ichiro Taniguchi, Foreground segmentation based on a simple combination of depth and appearance, 13th Joint Workshop on Machine Perception and Robotics(MPR2017), 2017.10. |
| 76. |
Maiya Hori, Yuji Toyomura, Tatsuro Harada, Rin-ichiro Taniguchi, Elderly monitoring system adjusting to various lifestyle patterns, 13th Joint Workshop on Machine Perception and Robotics(MPR2017), 2017.10. |
| 77. |
Hideaki Uchiyama, Shunsuke Sakurai, Masashi Mishima, Daisaku Arita, Takashi Okayasu, Atsushi Shimada, Rin-ichiro Taniguchi, An easy-to-setup 3D phenotyping platform for KOMATSUNA dataset, Computer Vision Problems in Plant Phenotyping (CVPPP), 2017.10. |
| 78. |
Thanh Trung Ngo, Hajime Nagahara, Ko Nishino, Rin-ichiro Taniguchi, Yasushi Yagi, Reflectance and Shape Estimation with a Light Field Camera under Natural Illumination, 28th British Machine Vision Conference (BMVC), 2017.09. |
| 79. |
Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi, Simple Combination of Appearance and Depth for Foreground Segmentation, Background learning for detection and tracking from RGBD videos, 2017.09. |
| 80. |
Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi, Analytics of Deep Neural Network in Change Detection, 14th IEEE International Conference on Advanced Video and Signal based Surveillance, 2017.08. |
| 81. |
Chao Ma, Ngo Thanh Trung, Hideaki Uchiyama, Hajime Nagahara, Atsushi Shimada, Rin-ichiro Taniguchi, Mixed features for face detection in thermal image, 13th IEEE International Conference on Advanced Video and Signal based Surveillance, 2017.05. |
| 82. |
Makoto Ohsaki, Hajime Nagahara, Tetsuo Ikeda, Rin-ichiro Taniguchi, Hyperspectral imaging using flickerless active LED illumination, 13th IEEE International Conference on Advanced Video and Signal based Surveillance, 2017.05. |
| 83. |
Masaki Igarashi, Atsushi Shimada, Kaito Oka, Rin-ichiro Taniguchi, Analysis of Wi-Fi-Based and Perceptual Congestion, 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM2017), 2017.02. |
| 84. |
Maiya Hori, Tatsuro Harada, Rin-ichiro Taniguchi, Anomaly Detection for an Elderly Person Watching System using Multiple Power Consumption Models, 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM2017), 2017.02. |
| 85. |
Shigeru Takano, Maiya Hori, Takayuki Goto, Seiichi Uchida, Ryo Kurazume, Rin-ichiro Taniguchi, Deep learning-based prediction method for people flows and their anomalies, 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM2017), 2017.02. |
| 86. |
Kaito Oka, Masaki Igarashi, Atsushi Shimada, Rin-ichiro Taniguchi, Extracting Latent Behavior Patterns of People from Probe Request Data: A Non-negative Tensor Factorization Approach, 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM2017), 2017.02. |
| 87. |
Atsutoshi Hanasaki, Hideaki Uchiyama, Atsushi Shimada, Rin-ichiro Taniguchi, Spatial People Localization on Floor Map using Multiple Fisheye Cameras, The International Workshop on Frontiers of Computer Vision (FCV) 2017, 2017.02. |
| 88. |
Ryo Kawahata, Atsushi Shimada, Rin-ichiro Taniguchi, What are Good Design Gestures? -Towards user- and machine-friendly interface-, 23rd International Conference on Multimedia Modeling, 2017.01. |
| 89. |
Takuya Yoda, Hajime Nagahara, Rin-ichiro Taniguchi, Keiichiro Kagawa, Keita Yasutomi, Shoji Kawahito, Dynamic Photometric Stereo Method using Multi-tap CMOS Image Sensor, 23rd International Conference on Pattern Recognition (ICPR2016), 2016.12. |
| 90. |
Tsubasa Minematsu, Atsushi Shimada, Rin-ichiro Taniguchi, Background Initialization based on Bidirectional Analysis and Consensus Voting, IEEE Scene Background Modeling Contest (SBMC 2016), 2016.12. |
| 91. |
馬 超, チュン ゴ タン, 内山 英昭, 長原 一, 島田 敬士, 谷口 倫一郎, Mixed Feature for Face Detection in Thermal Imag, 情報処理学会研究報告, 2016.11. |
| 92. |
Naoyuki Maeda, Amandine Paulo-Guieu, Ngo Thanh Trung, Hideaki Uchiyama, Hajime Nagahara, Rin-ichiro Taniguchi, Structure from Motion for Unordered Fisheye Images, 12th Joint Workshop on Machine Perception and Robotics(MPR2016), 2016.11. |
| 93. |
Takuya Yoda, Hajime Nagahara, Rin-ichiro Taniguchi, Keiichiro Kagawa, Keita Yasutomi, Shoji Kawahito, Dynamic Photometric Stereo Method using Multi-tap CMOS Image Sensor, 3rd International Workshop on Image Sensors and Imaging Systems(IWISS2016), 2016.11. |
| 94. |
Kaito Oka, Atsushi Shimada, Rin-ichiro Taniguchi, WiFi-based Behavior Analysis using Non-negative Tensor Factorization, 12th Joint Workshop on Machine Perception and Robotics(MPR2016), 2016.11. |
| 95. |
Makoto Ohsaki, Hajime Nagahara, Tetsuo Ikeda, Rin-ichiro Taniguchi, Hyperspectral imaging using flickerless active LED lighting, 12th Joint Workshop on Machine Perception and Robotics(MPR2016), 2016.11. |
| 96. |
Chao Ma, Ngo Thanh Trung, Hideaki Uchiyama, Hajime Nagahara, Atsushi Shimada, Rin-ichiro Taniguchi, Mixed Feature for Face Detection in Thermal Image, 12th Joint Workshop on Machine Perception and Robotics(MPR2016), 2016.11. |
| 97. |
Masaki Igarashi, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi, Evaluation of Effectiveness and Acceptability of Personalized Feedback for Efficient Energy Usage, 11th International Workshop on Information Search, Integration, and Personalization (ISIP2016), 2016.11. |
| 98. |
Masaki Igarashi, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi, Analysis of Effectiveness and Acceptability for Personalized Eco-Feedback, 12th Joint Workshop on Machine Perception and Robotics(MPR2016), 2016.11. |
| 99. |
Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi, 3D surveillance system using camera array, 11th International Workshop on Information Search, Integration, and Personalization (ISIP2016), 2016.11. |
| 100. |
Toshiki Sonoda, Hajime Nagahara, Kenta Endo, Yukinobu Sugiyama, Rin-ichiro Taniguchi, High-Speed Imaging using CMOS Image Sensor with Quasi Pixel-Wise Exposure, 31st International Congress on High-Speed Imaging and Photonics, 2016.11. |
| 101. |
Toshiki Sonoda, Hajime Nagahara, Kenta Endo, Yukinobu Sugiyama, Rin-ichiro Taniguchi, High-Speed Imaging using CMOS Image Sensor with Quasi Pixel-Wise Exposure, 3rd International Workshop on Image Sensors and Imaging Systems (IWISS2016, 2016.11. |
| 102. |
Maiya Hori, Takayuki Goto, Shigeru Takano, Rin-ichiro Taniguchi, Power Demand Forecasting Using Meteorological Data and Human Congestion Information, IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), 2016.10. |
| 103. |
Ehab El Shazly, Moataz Abdelwahab, Atsushi Shimada, Rin-ichiro Taniguchi, Real Time Algorithm for Efficient HCI Employing Features Obtained From MYO Sensor, 59th International Midwest Symposium on Circuits and Systems (MWSCAS), 2016.10. |
| 104. |
Andri Prima Nugroho, Takashi Okayasu, Rin-ichiro Taniguchi, Eiji Inoue, Yasumaru Hirai, Muneshi Mitsuoka, Lilik Sutiarso, Quantification of 2D Lateral Leaf Motion on Mature Plants Foliage using Optical Flow to Study the Circadian Rhythms, The 2nd International Symposium on Agricultural and Biosystem Engineering, 2016.08. |
| 105. |
Mohamed A. Abdelwahab, Moataz M. Abdelwahab, Hideaki Uchiyama, Atsushi Shimada, Rin-ichiro Taniguchi, Video Object Segmentation based on Superpixel Trajectories, International Conference on Image Analysis and Recognition, 2016.07. |
| 106. |
Diego Thomas, Rin-ichiro Taniguchi, Augmented Blendshapes for Real-time Simultaneous 3D Head Modeling and Facial Motion Capture, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), 2016.06, 実時間で顔画像のモーションキャプチャを実現する手法を明らかにした．特に，臨場感通信などの応用を想定して，少ない情報で高品質の3次元顔画像を再現できる仕組みを構築した．. |
| 107. |
Yoshiki Hashimoto, Daisaku Arita, Atsushi Shimada, Takashi Yoshinaga, Takashi Okayasu, Hideaki Uchiyama, Rin-ichiro Taniguchi, Measurement and Visualization of Farm Work Information, International Conference on Agriculture Engineering (CIGR AGEng), 2016.06. |
| 108. |
Toshiki Sonoda, Hajime Nagahara, Kenta Endo, Yukinobu Sugiyama, Rin-ichiro Taniguchi, High-Speed Imaging using CMOS Image Sensor with Quasi Pixel-Wise Exposure, International Conference on Computational Photography (ICCP2016), 2016.05. |
| 109. |
Yoshiki Hashimoto, Daisaku Arita, Atsushi Shimada, Takashi Okayasu, Hideaki Uchiyama, Rin-ichiro Taniguchi, Farmer position estimation in a tomato plant green house with smart devices, International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering (ISMAB) 2016, 2016.05. |
| 110. |
Masaki Igarashi, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi, Human-Assisted Power Demand Forecasting Based on Action Plan Declaration, ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS2016), 2016.04. |
| 111. |
Hajime Nagahara, Rin-ichiro Taniguchi, Computational photography using programmable aperture, 1st Asian Workshop on Smart Sensor Systems, 2013.03. |
| 112. |
Hajime Nagahara, Rin-ichiro Taniguchi, Atsushi Shimada, Wide-area Object Tracking and Link Discovering Across Multiple Non-overlapping Sensors, 1st Asian Workshop on Smart Sensor Systems, 2013.03. |
