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Ryo Hachiuma
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2020 – today
- 2024
- [c29]Masashi Hatano, Ryo Hachiuma, Ryo Fujii, Hideo Saito:
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition. ECCV (33) 2024: 182-199 - [c28]Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima:
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment. EMNLP 2024: 17807-17816 - [c27]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
Weakly Semi-Supervised Tool Detection in Minimally Invasive Surgery Videos. ICASSP 2024: 1611-1615 - [c26]Mana Masuda, Ryo Hachiuma, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume:
OS-NeRF: Generalizable Novel View Synthesis for Occluded Open-Surgical Scenes. VR Workshops 2024: 345-350 - [i18]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
Weakly Semi-supervised Tool Detection in Minimally Invasive Surgery Videos. CoRR abs/2401.02791 (2024) - [i17]Masashi Hatano, Ryo Hachiuma, Ryo Fujii, Hideo Saito:
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition. CoRR abs/2405.19917 (2024) - [i16]Masashi Hatano, Ryo Hachiuma, Hideo Saito:
EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos. CoRR abs/2405.20030 (2024) - [i15]Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima:
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment. CoRR abs/2406.13912 (2024) - [i14]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting. CoRR abs/2407.14725 (2024) - [i13]Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma:
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP. CoRR abs/2408.10202 (2024) - 2023
- [j10]Yuka Nokihara, Ryo Hachiuma, Ryosuke Hori, Hideo Saito:
Future Prediction of Shuttlecock Trajectory in Badminton Using Player's Information. J. Imaging 9(5): 99 (2023) - [c25]Fumiaki Sato, Ryo Hachiuma, Taiki Sekii:
Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features. CVPR 2023: 6471-6480 - [c24]Ryo Hachiuma, Fumiaki Sato, Taiki Sekii:
Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling. CVPR 2023: 22962-22971 - [c23]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 - [c22]Yuka Nokihara, Ryosuke Hori, Ryo Hachiuma, Hideo Saito:
Prediction of Shuttle Trajectory in Badminton Using Player's Position. VISIGRAPP (5: VISAPP) 2023: 788-795 - [i12]Fumiaki Sato, Ryo Hachiuma, Taiki Sekii:
Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features. CoRR abs/2303.15167 (2023) - [i11]Ryo Hachiuma, Fumiaki Sato, Taiki Sekii:
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling. CoRR abs/2303.15270 (2023) - [i10]Ryo Hachiuma, Tomohiro Shimizu, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume:
Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings. CoRR abs/2303.15947 (2023) - [i9]Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa:
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder. CoRR abs/2304.03420 (2023) - [i8]Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc:
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR abs/2305.07152 (2023) - 2022
- [j9]Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro:
The CORSMAL Benchmark for the Prediction of the Properties of Containers. IEEE Access 10: 41388-41402 (2022) - [j8]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) - [j7]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) - [j6]Keitaro Yoshida, Ryo Hachiuma, Hisako Tomita, Jingjing Pan, Kris Kitani, Hiroki Kajita, Tetsu Hayashida, Maki Sugimoto:
Spatiotemporal Video Highlight by Neural Network Considering Gaze and Hands of Surgeon in Egocentric Surgical Videos. J. Medical Robotics Res. 7(1): 2141001:1-2141001:18 (2022) - [c21]Amar Alikadic, Hideo Saito, Ryo Hachiuma:
Transformer Networks for Future Person Localization in First-Person Videos. ISVC (2) 2022: 179-190 - [i7]Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma, Hideo Saito:
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory. CoRR abs/2203.07098 (2022) - 2021
- [j5]Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma, Hideo Saito:
A Two-Block RNN-Based Trajectory Prediction From Incomplete Trajectory. IEEE Access 9: 56140-56151 (2021) - [j4]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) - [j3]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) - [j2]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) - [j1]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) - [c20]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 - [c19]Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa:
Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational Autoencoder. ICIP 2021: 3118-3122 - [c18]Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani:
Dynamics-regulated kinematic policy for egocentric pose estimation. NeurIPS 2021: 25019-25032 - [i6]Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani:
Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation. CoRR abs/2106.05969 (2021) - [i5]Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro:
Multi-modal estimation of the properties of containers and their content: survey and evaluation. CoRR abs/2107.12719 (2021) - [i4]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach. CoRR abs/2110.07413 (2021) - 2020
- [c17]Ryo Fujii, Ryo Hachiuma, Hideo Saito:
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach. AVR (1) 2020: 440-451 - [c16]Yuki Saito, Ryo Hachiuma, Masahiro Yamaguchi, Hideo Saito:
In-Plane Rotation-Aware Monocular Depth Estimation Using SLAM. IW-FCV 2020: 305-317 - [c15]Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Hideo Saito:
Audio-Visual Hybrid Approach for Filling Mass Estimation. ICPR Workshops (8) 2020: 437-450 - [c14]Reina Ishikawa, Ryo Hachiuma, Akiyoshi Kurobe, Hideo Saito:
Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning. ICPR 2020: 9399-9406 - [c13]Daiki Matsuno, Ryo Hachiuma, Hideo Saito, Junichi Sugano, Hideyuki Adachi:
Pose Estimation of Stacked Rectangular Objects from Depth Images. ISIE 2020: 1409-1414 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [i3]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) - [i2]Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani:
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation. CoRR abs/2011.04837 (2020)
2010 – 2019
- 2019
- [c8]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 - [c7]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 - [c6]Ryo Hachiuma, Hideo Saito:
Volumetric Representation of Semantically Segmented Human Body Parts Using Superquadrics. EuroVR 2019: 52-61 - [c5]Ryo Hachiuma, Hideo Saito:
Volumetric Representation of Human Body Parts Using Superquadrics. ISMAR Adjunct 2019: 187-188 - [c4]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 - [c3]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 - [i1]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) - 2017
- [c2]Ryo Hachiuma, Yuko Ozasa, Hideo Saito:
Primitive Shape Recognition via Superquadric Representation using Large Margin Nearest Neighbor Classifier. VISIGRAPP (5: VISAPP) 2017: 325-332 - 2016
- [c1]Ryo Hachiuma, Hideo Saito:
Recognition and pose estimation of primitive shapes from depth images for spatial augmented reality. WEVR@VR 2016: 32-35
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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