Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHideo Saito
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j83]Susumu Kikkawa
, Fumio Okura, Daigo Muramatsu, Yasushi Yagi, Hideo Saito:
Accuracy Evaluation and Prediction of Single-Image Camera Calibration. IEEE Access 11: 19312-19323 (2023)- [c267]Yuki Saito, Hideo Saito, Vincent Frémont:
Monocular Depth Estimation for Tilted Images via Gravity Rectifier. VISIGRAPP (5: VISAPP) 2023: 453-463 - [c266]Masashi Hatano, Ryo Hachiuma, Hideo Saito:
Trajectory Prediction in First-Person Video: Utilizing a Pre-Trained Bird's-Eye View Model. VISIGRAPP (4: VISAPP) 2023: 624-630 - [c265]Yuka Nokihara, Ryosuke Hori, Ryo Hachiuma, Hideo Saito:
Prediction of Shuttle Trajectory in Badminton Using Player's Position. VISIGRAPP (5: VISAPP) 2023: 788-795 - [c264]Mana Masuda, Hideo Saito, Yoshifumi Takatsume, Hiroki Kajita:
Novel View Synthesis for Unseen Surgery Recordings. VISIGRAPP (4: VISAPP) 2023: 944-949 - 2022
- [j82]Ryosuke Hori, Ryo Hachiuma, Mariko Isogawa, Dan Mikami, Hideo Saito:
Silhouette-Based 3D Human Pose Estimation Using a Single Wrist-Mounted 360° Camera. IEEE Access 10: 54957-54968 (2022) - [j81]Linlin Zhang, Hideo Saito, Liang Yang, Jiajie Wu:
Privacy-Preserving Federated Transfer Learning for Driver Drowsiness Detection. IEEE Access 10: 80565-80574 (2022) - [j80]Takehiro Ozawa, Yusuke Sekikawa, Hideo Saito:
Recursive Contrast Maximization for Event-Based High-Frequency Motion Estimation. IEEE Access 10: 125376-125386 (2022) - [j79]Haowen Hu, Ryo Hachiuma, Hideo Saito, Yoshifumi Takatsume, Hiroki Kajita:
Multi-Camera Multi-Person Tracking and Re-Identification in an Operating Room. J. Imaging 8(8): 219 (2022) - [j78]Yuta Itabashi, Fumihiko Nakamura, Hiroki Kajita, Hideo Saito, Maki Sugimoto:
Smart Surgical Light: Identification of Surgical Field States Using Time of Flight Sensors. J. Medical Robotics Res. 7(1): 2141002:1-2141002:11 (2022) - [j77]Naoto Ienaga, Alice Cravotta, Kei Terayama, Bryan W. Scotney, Hideo Saito, Maria Grazia Busà:
Semi-automation of gesture annotation by machine learning and human collaboration. Lang. Resour. Evaluation 56(3): 673-700 (2022) - [j76]Naoto Ienaga, Alice Cravotta, Kei Terayama, Bryan W. Scotney, Hideo Saito, Maria Grazia Busà:
Correction to: Semi-automation of gesture annotation by machine learning and human collaboration. Lang. Resour. Evaluation 56(3): 701 (2022) - [j75]Ana M. Bernardos, Juan A. Besada, Jesús García Herrero, Hideo Saito, Patrizia Marti:
Special issue on "drones as enablers of novel services: operational and technology challenges". Pers. Ubiquitous Comput. 26(4): 1083-1084 (2022) - [j74]Takehiro Ozawa, Yusuke Sekikawa, Hideo Saito:
Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird's-Eye View Transformation. Sensors 22(3): 773 (2022) - [j73]Atsunori Moteki, Hideo Saito:
Object Pose Estimation Using Edge Images Synthesized from Shape Information. Sensors 22(24): 9610 (2022) - [c263]Joan Colom, Hideo Saito:
3D shape Reconstruction from Non-realistic Multiple-view Depictions Using NVDiffRec. APMAR 2022 - [c262]Takenori Hara, Hideo Saito:
Real-Time Safe Route Finding and Visualization Using Shared Edge Devices. APMAR 2022 - [c261]Tomoya Matsubara, Seitaro Otsuki, Yuiga Wada, Haruka Matsuo, Takumi Komatsu, Yui Iioka, Komei Sugiura, Hideo Saito:
Shared Transformer Encoder with Mask-Based 3d Model Estimation for Container Mass Estimation. ICASSP 2022: 9142-9146 - [c260]Mana Masuda, Yusuke Sekikawa, Ryo Fujii, Hideo Saito:
Neural Implicit Event Generator for Motion Tracking. ICRA 2022: 2200-2206 - [c259]Amar Alikadic, Hideo Saito, Ryo Hachiuma:
Transformer Networks for Future Person Localization in First-Person Videos. ISVC (2) 2022: 179-190 - [c258]Yusuke Nonaka, Hideaki Uchiyama, Hideo Saito, Shoji Yachida, Kota Iwamoto:
Difference-in-level Detection from RGB-D Images. ISVC (2) 2022: 393-406 - [c257]Daiki Matsuno, Ryo Fujii, Hideo Saito:
Class Imbalanced Medical Image Classification with Complication Data. LifeTech 2022: 386-390 - [c256]Mana Masuda, Hideo Saito, Yoshifumi Takatsume, Hiroki Kajita:
Novel View Synthesis for Surgical Recording. DGM4MICCAI@MICCAI 2022: 67-76 - [c255]Akimasa Kondo, Hideo Saito, Shoji Yachida, Ryo Fujiwara:
Action Recognition using Time-series Heat Maps of Joint Positions from Volleyball Match Videos. MMSports@MM 2022: 39-45 - [c254]Hideo Saito, Thomas B. Moeslund, Rainer Lienhart:
MMSports'22: 5th International ACM Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2022: 7386-7388 - [c253]Takashi Yoshikawa, Masami Hida, Chonho Lee, Haruna Okabe, Nozomi Kobayashi, Sachie Ozawa, Hideo Saito, Masaki Kan, Susumu Date, Shinji Shimojo:
Identification of over One Thousand Individual Wild Humpback Whales using Fluke Photos. VISIGRAPP (4: VISAPP) 2022: 957-967 - [e17]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9488-8 [contents] - [i9]Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma, Hideo Saito:
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory. CoRR abs/2203.07098 (2022) - 2021
- [j72]Akiyoshi Kurobe, Yoshikatsu Nakajima, Kris Kitani, Hideo Saito:
Audio-Visual Self-Supervised Terrain Type Recognition for Ground Mobile Platforms. IEEE Access 9: 29970-29979 (2021) - [j71]Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma, Hideo Saito:
A Two-Block RNN-Based Trajectory Prediction From Incomplete Trajectory. IEEE Access 9: 56140-56151 (2021) - [j70]Reina Ishikawa, Ryo Hachiuma, Hideo Saito:
Self-Supervised Audio-Visual Feature Learning for Single-Modal Incremental Terrain Type Clustering. IEEE Access 9: 64346-64357 (2021) - [j69]Tomoya Kaichi, Tsubasa Maruyama, Mitsunori Tada, Hideo Saito:
Learning Sensor Interdependencies for IMU-to-Segment Assignment. IEEE Access 9: 116440-116452 (2021) - [j68]Yuki Saito, Ryo Hachiuma, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume, Tetsu Hayashida:
Camera Selection for Occlusion-Less Surgery Recording via Training With an Egocentric Camera. IEEE Access 9: 138307-138322 (2021) - [j67]Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank:
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine 135: 104596 (2021) - [j66]Masaru Ohkawara, Hideo Saito, Issei Fujishiro:
Experiencing GPU path tracing in online courses. Graph. Vis. Comput. 4: 200022 (2021) - [j65]Tomohiro Shimizu, Ryo Hachiuma, Hiroki Kajita, Yoshifumi Takatsume, Hideo Saito:
Hand Motion-Aware Surgical Tool Localization and Classification from an Egocentric Camera. J. Imaging 7(2): 15 (2021) - [c252]Ryosuke Hori, Ryo Hachiuma, Hideo Saito, Mariko Isogawa, Dan Mikami:
Silhouette-Based Synthetic Data Generation For 3D Human Pose Estimation With A Single Wrist-Mounted 360° Camera. ICIP 2021: 1304-1308 - [c251]Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa:
Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational Autoencoder. ICIP 2021: 3118-3122 - [c250]Ryota Matsui, Takafumi Koyama, Koji Fujita, Hideo Saito, Yuta Sugiura:
Video-Based Hand Tracking for Screening Cervical Myelopathy. ISVC (2) 2021: 3-14 - [c249]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports'21: 4th International Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2021: 5692-5693 - [e16]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports@MM 2021: Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8670-8 [contents] - [i8]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach. CoRR abs/2110.07413 (2021) - [i7]Mana Masuda, Yusuke Sekikawa, Ryo Fujii, Hideo Saito:
Neural Implicit Event Generator for Motion Tracking. CoRR abs/2111.03824 (2021) - 2020
- [j64]Akiyoshi Kurobe, Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito:
CorsNet: 3D Point Cloud Registration by Deep Neural Network. IEEE Robotics Autom. Lett. 5(3): 3960-3966 (2020) - [j63]Tomoya Kaichi, Tsubasa Maruyama, Mitsunori Tada, Hideo Saito:
Resolving Position Ambiguity of IMU-Based Human Pose with a Single RGB Camera. Sensors 20(19): 5453 (2020) - [j62]Shohei Mori, Okan Erat, Wolfgang Broll, Hideo Saito, Dieter Schmalstieg, Denis Kalkofen:
InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes. IEEE Trans. Vis. Comput. Graph. 26(10): 2994-3007 (2020) - [c248]Masahiro Yamaguchi, Shohei Mori, Hideo Saito, Shoji Yachida, Takashi Shibata:
Global-Map-Registered Local Visual Odometry Using On-the-Fly Pose Graph Updates. AVR (1) 2020: 299-311 - [c247]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach. AVR (1) 2020: 440-451 - [c246]Yuki Saito, Ryo Hachiuma, Masahiro Yamaguchi, Hideo Saito:
In-Plane Rotation-Aware Monocular Depth Estimation Using SLAM. IW-FCV 2020: 305-317 - [c245]Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Hideo Saito:
Audio-Visual Hybrid Approach for Filling Mass Estimation. ICPR Workshops (8) 2020: 437-450 - [c244]Reina Ishikawa, Ryo Hachiuma, Akiyoshi Kurobe, Hideo Saito:
Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning. ICPR 2020: 9399-9406 - [c243]Daiki Matsuno, Ryo Hachiuma, Hideo Saito, Junichi Sugano, Hideyuki Adachi:
Pose Estimation of Stacked Rectangular Objects from Depth Images. ISIE 2020: 1409-1414 - [c242]Elena Peña-Tapia, Ryo Hachiuma, Antoine Pasquali, Hideo Saito:
LCR-SMPL: Toward Real-time Human Detection and 3D Reconstruction from a Single RGB Image. ISMAR Adjunct 2020: 211-212 - [c241]Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito:
Unsupervised Anomaly Detection of the First Person in Gait from an Egocentric Camera. ISVC (2) 2020: 604-617 - [c240]Masaru Watanabe, Yuta Sugiura, Hideo Saito, Takafumi Koyama, Koji Fujita:
Detection of cervical myelopathy with Leap Motion Sensor by random forests. LifeTech 2020: 214-216 - [c239]Ryo Hachiuma, Tomohiro Shimizu, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume:
Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings. MICCAI (3) 2020: 419-428 - [c238]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports'20: 3rd International Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2020: 4765-4766 - [c237]Masahiro Yamaguchi, Shohei Mori, Peter Mohr, Markus Tatzgern, Ana Stanescu, Hideo Saito, Denis Kalkofen:
Video-Annotated Augmented Reality Assembly Tutorials. UIST 2020: 1010-1022 - [c236]Tomohiro Shimizu, Kei Oishi, Ryo Hachiuma, Hiroki Kajita, Yoshifumi Takatsume, Hideo Saito:
Surgery Recording without Occlusions by Multi-view Surgical Videos. VISIGRAPP (5: VISAPP) 2020: 837-844 - [e15]Patrick Bourdot, Victoria Interrante, Regis Kopper, Anne-Hélène Olivier, Hideo Saito, Gabriel Zachmann:
Virtual Reality and Augmented Reality - 17th EuroVR International Conference, EuroVR 2020, Valencia, Spain, November 25-27, 2020, Proceedings. Lecture Notes in Computer Science 12499, Springer 2020, ISBN 978-3-030-62654-9 [contents] - [e14]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports '20: Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports, Seattle, WA, USA, October 16, 2020. ACM 2020, ISBN 978-1-4503-8149-9 [contents] - [i6]Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank:
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation. CoRR abs/2010.03341 (2020) - [i5]Akiyoshi Kurobe, Yoshikatsu Nakajima, Hideo Saito, Kris Kitani:
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms. CoRR abs/2010.06318 (2020)
2010 – 2019
- 2019
- [j61]Yoshikatsu Nakajima, Hideo Saito:
Efficient Object-Oriented Semantic Mapping With Object Detector. IEEE Access 7: 3206-3213 (2019) - [j60]Chanya Lueangwattana, Shohei Mori, Hideo Saito:
Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering. Comput. Vis. Media 5(1): 21-32 (2019) - [j59]Siim Meerits, Vincent Nozick, Hideo Saito:
Real-time scene reconstruction and triangle mesh generation using multiple RGB-D cameras. J. Real Time Image Process. 16(6): 2247-2259 (2019) - [c235]Remy Maxence, Hideaki Uchiyama, Hiroshi Kawasaki, Diego Thomas, Vincent Nozick, Hideo Saito:
Mobile Photometric Stereo with Keypoint-Based SLAM for Dense 3D Reconstruction. 3DV 2019: 574-582 - [c234]Yuki Ishikawa, Ryo Hachiuma, Naoto Ienaga, Wakaba Kuno, Yuta Sugiura, Hideo Saito:
Semantic Segmentation of 3D Point Cloud to Virtually Manipulate Real Living Space. APMAR 2019: 1-7 - [c233]Takehiro Ozawa, Yoshikatsu Nakajima, Hideo Saito:
Simultaneous 3D Tracking and Reconstruction of Multiple Moving Rigid Objects. APMAR 2019: 1-5 - [c232]Takumi Kobayashi, Yuta Sugiura, Hideo Saito, Yuji Uema:
Automatic Eyeglasses Replacement for a 3D Virtual Try-on System. AH 2019: 30:1-30:4 - [c231]Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg, Hideo Saito:
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM. BMVC 2019: 7 - [c230]Yusuke Sekikawa, Kosuke Hara, Hideo Saito:
EventNet: Asynchronous Recursive Event Processing. CVPR 2019: 3887-3896 - [c229]Ryo Hachiuma, Hideo Saito:
Volumetric Representation of Semantically Segmented Human Body Parts Using Superquadrics. EuroVR 2019: 52-61 - [c228]Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani:
Incremental Class Discovery for Semantic Segmentation With RGBD Sensing. ICCV 2019: 972-981 - [c227]Pengcheng Zhuang, Yusuke Sekikawa, Kosuke Hara, Hideo Saito:
Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder. ICIAP (2) 2019: 379-389 - [c226]Tomohiro Shimizu, Kei Oishi, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume:
Automatic Viewpoint Switching for Multi-view Surgical Videos. ISMAR Adjunct 2019: 89-90 - [c225]Ryo Hachiuma, Hideo Saito:
Volumetric Representation of Human Body Parts Using Superquadrics. ISMAR Adjunct 2019: 187-188 - [c224]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
Joint Inpainting of RGB and Depth Images by Generative Adversarial Network with a Late Fusion Approach. ISMAR Adjunct 2019: 203-204 - [c223]Naoto Ienaga, Yuta Sugiura, Hideo Saito, Koji Fujita:
Self-assessment Application of Flexion and Extension. LifeTech 2019: 150-152 - [c222]Tomohiro Shimizu, Ryo Hachiuma, Hideo Saito, Takashi Yoshikawa, Chonho Lee:
Prediction of Future Shot Direction using Pose and Position of Tennis Player. MMSports@MM 2019: 59-66 - [c221]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
MMSports'19: 2nd ACM International Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2019: 2732-2733 - [e13]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports, MMSports@MM 2019, Nice, France, October 25, 2019. ACM 2019, ISBN 978-1-4503-6911-4 [contents] - [i4]Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg, Hideo Saito:
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM. CoRR abs/1907.09127 (2019) - [i3]Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani:
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing. CoRR abs/1907.10008 (2019) - 2018
- [j58]Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito:
Constant Velocity 3D Convolution. IEEE Access 6: 76490-76501 (2018) - [j57]Siim Meerits, Diego Thomas, Vincent Nozick, Hideo Saito:
FusionMLS: Highly dynamic 3D reconstruction with consumer-grade RGB-D cameras. Comput. Vis. Media 4(4): 287-303 (2018) - [j56]Atsushi Kawasaki, Kosuke Hara, Hideo Saito:
Line-Based SLAM Using Non-Overlapping Cameras in an Urban Environment. IEICE Trans. Inf. Syst. 101-D(5): 1232-1242 (2018) - [j55]Masahiro Yamaguchi, Trong Phuc Truong, Shohei Mori, Vincent Nozick, Hideo Saito, Shoji Yachida, Hideaki Sato:
Superimposing Thermal-Infrared Data on 3D Structure Reconstructed by RGB Visual Odometry. IEICE Trans. Inf. Syst. 101-D(5): 1296-1307 (2018) - [j54]Yoshikatsu Nakajima, Hideo Saito:
Simultaneous Object Segmentation and Recognition by Merging CNN Outputs from Uniformly Distributed Multiple Viewpoints. IEICE Trans. Inf. Syst. 101-D(5): 1308-1316 (2018) - [j53]Shogo Miyata, Hideo Saito, Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Akira Kojima:
Extrinsic Camera Calibration Without Visible Corresponding Points Using Omnidirectional Cameras. IEEE Trans. Circuits Syst. Video Technol. 28(9): 2210-2219 (2018) - [j52]Wolfgang Broll, Hideo Saito, J. Edward Swan II:
Message from the ISMAR 2016 Science and Technology Program Chairs and Guest Editors. IEEE Trans. Vis. Comput. Graph. 24(7): 2265 (2018) - [c220]Hiroki Usami, Hideo Saito, Jun Kawai, Noriko Itani:
Synchronizing 3D point cloud from 3D scene flow estimation with 3D Lidar and RGB camera. 3D Image Processing, Measurement (3DIPM), and Applications 2018 - [c219]Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito:
Constant Velocity 3D Convolution. 3DV 2018: 343-351 - [c218]Naoto Ienaga, Wataru Kawai, Koji Fujita, Natsuki Miyata, Yuta Sugiura, Hideo Saito:
A Thumb Tip Wearable Device Consisting of Multiple Cameras to Measure Thumb Posture. ACCV Workshops 2018: 31-38 - [c217]Tomoya Kaichi, Shohei Mori, Hideo Saito, Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Hideaki Kimata:
Estimation of Center of Mass for Sports Scene Using Weighted Visual Hull. CVPR Workshops 2018: 1809-1815 - [c216]Trong Phuc Truong, Vincent Nozick, Hideo Saito:
Semi-independent Stereo Visual Odometry for Different Field of View Cameras. ECCV Workshops (1) 2018: 430-442 - [c215]Yoshikatsu Nakajima, Keisuke Tateno, Federico Tombari, Hideo Saito:
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation. IROS 2018: 385-392 - [c214]Shohei Mori, Jan Herling, Wolfgang Broll, Norihiko Kawai, Hideo Saito, Dieter Schmalstieg, Denis Kalkofen:
3D PixMix: Image Inpainting in 3D Environments. ISMAR Adjunct 2018: 1-2 - [c213]Kentaro Yagi, Kunihiro Hasegawa, Yuta Sugiura, Hideo Saito:
Estimation of Runners' Number of Steps, Stride Length and Speed Transition from Video of a 100-Meter Race. MMSports@MM 2018: 87-95 - [c212]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
1st ACM International Workshop on Multimedia Content Analysis in Sports. ACM Multimedia 2018: 2125-2126 - [c211]Hideo Saito:
Session details: Keynote & Session 1. MMSports@MM 2018 - [e12]Rainer Lienhart, Thomas B. Moeslund, Hideo Saito:
Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, MMSports@MM 2018, Seoul, Republic of Korea, October 26, 2018. ACM 2018, ISBN 978-1-4503-5981-8 [contents] - [i2]Yoshikatsu Nakajima, Keisuke Tateno, Federico Tombari, Hideo Saito:
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation. CoRR abs/1803.02784 (2018) - [i1]Yusuke Sekikawa, Kosuke Hara, Hideo Saito:
EventNet: Asynchronous recursive event processing. CoRR abs/1812.07045 (2018) - 2017
- [j51]Yoshikatsu Nakajima, Hideo Saito:
Robust camera pose estimation by viewpoint classification using deep learning. Comput. Vis. Media 3(2): 189-198 (2017) - [j50]Shohei Mori, Sei Ikeda, Hideo Saito:
A survey of diminished reality: Techniques for visually concealing, eliminating, and seeing through real objects. IPSJ Trans. Comput. Vis. Appl. 9: 17 (2017) - [j49]Shohei Mori, Momoko Maezawa, Hideo Saito:
A Work Area Visualization by Multi-View Camera-Based Diminished Reality. Multimodal Technol. Interact. 1(3): 18 (2017) - [c210]Shohei Mori, Hideo Saito:
Augmented visualization: Observing as desired. APSIPA 2017: 351-356 - [c209]Shogo Miyata, Hideo Saito, Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Hideaki Kimata:
Ball 3D Trajectory Reconstruction without Preliminary Temporal and Geometrical Camera Calibration. CVPR Workshops 2017: 164-169 - [c208]Kei Uehara, Hideo Saito, Kosuke Hara:
Line-Based SLAM Considering Prior Distribution of Distance and Angle of Line Features in an Urban Environment. VISIGRAPP (Revised Selected Papers) 2017: 105-127 - [c207]Trong Phuc Truong, Masahiro Yamaguchi, Shohei Mori, Vincent Nozick, Hideo Saito:
Registration of RGB and Thermal Point Clouds Generated by Structure From Motion. ICCV Workshops 2017: 419-427 - [c206]Naoto Ienaga, Yuko Ozasa, Hideo Saito:
Eating and Drinking Recognition via Integrated Information of Head Directions and Joint Positions in a Group. ICPRAM 2017: 527-533 - [c205]Hideo Saito, Shohei Mori, Sei Ikeda:
Workshop on Highly Diverse Cameras and Displays for Mixed and Augmented Reality (HDCD4MAR) Summary. ISMAR Adjunct 2017: 326 - [c204]