Ryo Hachiuma

According to our database, Ryo Hachiuma authored at least 45 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP.

Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma

CoRR, 2024

CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting.

Ryo Fujii, Ryo Hachiuma, Hideo Saito

CoRR, 2024

EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos.

Masashi Hatano, Ryo Hachiuma, Hideo Saito

CoRR, 2024

OS-NeRF: Generalizable Novel View Synthesis for Occluded Open-Surgical Scenes.

Mana Masuda, Ryo Hachiuma, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Weakly Semi-Supervised Tool Detection in Minimally Invasive Surgery Videos.

Ryo Fujii, Ryo Hachiuma, Hideo Saito

Proceedings of the IEEE International Conference on Acoustics, 2024

From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment.

Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition.

Masashi Hatano, Ryo Hachiuma, Ryo Fujii, Hideo Saito

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Future Prediction of Shuttlecock Trajectory in Badminton Using Player's Information.

Yuka Nokihara, Ryo Hachiuma, Ryosuke Hori, Hideo Saito

J. Imaging, 2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.

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

CoRR, 2023

Prediction of Shuttle Trajectory in Badminton Using Player's Position.

Yuka Nokihara, Ryosuke Hori, Ryo Hachiuma, Hideo Saito

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Trajectory Prediction in First-Person Video: Utilizing a Pre-Trained Bird's-Eye View Model.

Masashi Hatano, Ryo Hachiuma, Hideo Saito

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features.

Fumiaki Sato, Ryo Hachiuma, Taiki Sekii

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling.

Ryo Hachiuma, Fumiaki Sato, Taiki Sekii

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Spatiotemporal Video Highlight by Neural Network Considering Gaze and Hands of Surgeon in Egocentric Surgical Videos.

Keitaro Yoshida, Ryo Hachiuma, Hisako Tomita, Jingjing Pan, Kris Kitani, Hiroki Kajita, Tetsu Hayashida, Maki Sugimoto

J. Medical Robotics Res., 2022

Multi-Camera Multi-Person Tracking and Re-Identification in an Operating Room.

Haowen Hu, Ryo Hachiuma, Hideo Saito, Yoshifumi Takatsume, Hiroki Kajita

J. Imaging, 2022

The CORSMAL Benchmark for the Prediction of the Properties of Containers.

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

IEEE Access, 2022

Silhouette-Based 3D Human Pose Estimation Using a Single Wrist-Mounted 360° Camera.

Ryosuke Hori, Ryo Hachiuma, Mariko Isogawa, Dan Mikami, Hideo Saito

IEEE Access, 2022

Transformer Networks for Future Person Localization in First-Person Videos.

Amar Alikadic, Hideo Saito, Ryo Hachiuma

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

2021

Hand Motion-Aware Surgical Tool Localization and Classification from an Egocentric Camera.

Tomohiro Shimizu, Ryo Hachiuma, Hiroki Kajita, Yoshifumi Takatsume, Hideo Saito

J. Imaging, 2021

Multi-modal estimation of the properties of containers and their content: survey and evaluation.

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

CoRR, 2021

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

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

Comput. Biol. Medicine, 2021

Camera Selection for Occlusion-Less Surgery Recording via Training With an Egocentric Camera.

Yuki Saito, Ryo Hachiuma, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume, Tetsu Hayashida

IEEE Access, 2021

Self-Supervised Audio-Visual Feature Learning for Single-Modal Incremental Terrain Type Clustering.

Reina Ishikawa, Ryo Hachiuma, Hideo Saito

IEEE Access, 2021

A Two-Block RNN-Based Trajectory Prediction From Incomplete Trajectory.

Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma, Hideo Saito

IEEE Access, 2021

Dynamics-regulated kinematic policy for egocentric pose estimation.

Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Toward Unsupervised 3d Point Cloud Anomaly Detection Using Variational Autoencoder.

Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Silhouette-Based Synthetic Data Generation For 3D Human Pose Estimation With A Single Wrist-Mounted 360° Camera.

Ryosuke Hori, Ryo Hachiuma, Hideo Saito, Mariko Isogawa, Dan Mikami

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation.

Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani

CoRR, 2020

Surgery Recording without Occlusions by Multi-view Surgical Videos.

Tomohiro Shimizu, Kei Oishi, Ryo Hachiuma, Hiroki Kajita, Yoshifumi Takatsume, Hideo Saito

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings.

Ryo Hachiuma, Tomohiro Shimizu, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unsupervised Anomaly Detection of the First Person in Gait from an Egocentric Camera.

Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

LCR-SMPL: Toward Real-time Human Detection and 3D Reconstruction from a Single RGB Image.

Elena Peña-Tapia, Ryo Hachiuma, Antoine Pasquali, Hideo Saito

Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020

Pose Estimation of Stacked Rectangular Objects from Depth Images.

Daiki Matsuno, Ryo Hachiuma, Hideo Saito, Junichi Sugano, Hideyuki Adachi

Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

Audio-Visual Hybrid Approach for Filling Mass Estimation.

Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Hideo Saito

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning.

Reina Ishikawa, Ryo Hachiuma, Akiyoshi Kurobe, Hideo Saito

Proceedings of the 25th International Conference on Pattern Recognition, 2020

In-Plane Rotation-Aware Monocular Depth Estimation Using SLAM.

Yuki Saito, Ryo Hachiuma, Masahiro Yamaguchi, Hideo Saito

Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020

RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach.

Ryo Fujii, Ryo Hachiuma, Hideo Saito

Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2020

2019

Prediction of Future Shot Direction using Pose and Position of Tennis Player.

Tomohiro Shimizu, Ryo Hachiuma, Hideo Saito, Takashi Yoshikawa, Chonho Lee

Proceedings of the Proceedings Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports, 2019

Volumetric Representation of Human Body Parts Using Superquadrics.

Ryo Hachiuma, Hideo Saito

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2019

Joint Inpainting of RGB and Depth Images by Generative Adversarial Network with a Late Fusion Approach.

Ryo Fujii, Ryo Hachiuma, Hideo Saito

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2019

Volumetric Representation of Semantically Segmented Human Body Parts Using Superquadrics.

Ryo Hachiuma, Hideo Saito

Proceedings of the Virtual Reality and Augmented Reality, 2019

DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM.

Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg, Hideo Saito

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Semantic Segmentation of 3D Point Cloud to Virtually Manipulate Real Living Space.

Yuki Ishikawa, Ryo Hachiuma, Naoto Ienaga, Wakaba Kuno, Yuta Sugiura, Hideo Saito

Proceedings of the 12th Asia Pacific Workshop on Mixed and Augmented Reality, 2019

2017

Primitive Shape Recognition via Superquadric Representation using Large Margin Nearest Neighbor Classifier.

Ryo Hachiuma, Yuko Ozasa, Hideo Saito

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

2016

Recognition and pose estimation of primitive shapes from depth images for spatial augmented reality.

Ryo Hachiuma, Hideo Saito

Proceedings of the 2nd IEEE Workshop on Everyday Virtual Reality, 2016