Ryo Hachiuma

577 total citations
33 papers, 179 citations indexed

About

Ryo Hachiuma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Ryo Hachiuma has authored 33 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Ryo Hachiuma's work include Human Pose and Action Recognition (10 papers), Advanced Vision and Imaging (9 papers) and Video Surveillance and Tracking Methods (9 papers). Ryo Hachiuma is often cited by papers focused on Human Pose and Action Recognition (10 papers), Advanced Vision and Imaging (9 papers) and Video Surveillance and Tracking Methods (9 papers). Ryo Hachiuma collaborates with scholars based in Japan, United States and South Korea. Ryo Hachiuma's co-authors include Hideo Saitô, Fumiaki Sato, Ryo Fujii, Hiroki Kajita, Yoshifumi Takatsume, Tomohiro Shimizu, Jayakorn Vongkulbhisal, Yuki Ishikawa, Mariko Isogawa and Yuta Sugiura and has published in prestigious journals such as IEEE Access, Applied Sciences and Journal of Imaging.

In The Last Decade

Ryo Hachiuma

28 papers receiving 174 citations

Peers

Countries citing papers authored by Ryo Hachiuma

Since Specialization

Citations

This map shows the geographic impact of Ryo Hachiuma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryo Hachiuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Hachiuma more than expected).

Fields of papers citing papers by Ryo Hachiuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryo Hachiuma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryo Hachiuma. The network helps show where Ryo Hachiuma may publish in the future.

Co-authorship network of co-authors of Ryo Hachiuma

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Hachiuma. A scholar is included among the top collaborators of Ryo Hachiuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryo Hachiuma. Ryo Hachiuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models 2025 ·Byung‐Kwan Lee, Ryo Hachiuma, Yu-Chiang Frank Wang, Yong Man Ro, Yueh-Hua Wu	0
2	Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks 2025 ·(unknown), (unknown), De-An Huang, Sifei Liu, (unknown), Seon Joo Kim, Yu-Chiang Frank Wang, Ryo Hachiuma	0
3	Autoencoder‐based unsupervised one‐class learning for abnormal activity detection in egocentric videos 2024 ·IET Computer Vision ·Haowen Hu, Ryo Hachiuma, Hideo Saitô	0
4	From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment 2024 ·Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima	0
5	OS-NeRF: Generalizable Novel View Synthesis for Occluded Open-Surgical Scenes 2024 ·(unknown), Ryo Hachiuma, Hideo Saitô, Hiroki Kajita, Yoshifumi Takatsume	1
6	Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features 2023 ·Fumiaki Sato, Ryo Hachiuma, (unknown)	23
7	Trajectory Prediction in First-Person Video: Utilizing a Pre-Trained Bird's-Eye View Model 2023 ·(unknown), Ryo Hachiuma, Hideo Saitô	1
8	Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information 2023 ·Journal of Imaging ·(unknown), Ryo Hachiuma, (unknown), Hideo Saitô	4
9	The CORSMAL Benchmark for the Prediction of the Properties of Containers 2022 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ryo Hachiuma, Qi Liu, (unknown), (unknown), Rosa H. M. Chan, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Andrea Cavallaro	5
10	Multi-Camera Multi-Person Tracking and Re-Identification in an Operating Room 2022 ·Journal of Imaging ·Haowen Hu, Ryo Hachiuma, Hideo Saitô, Yoshifumi Takatsume, Hiroki Kajita	5
11	Camera Selection for Occlusion-Less Surgery Recording via Training With an Egocentric Camera 2021 ·IEEE Access ·(unknown), Ryo Hachiuma, Hideo Saitô, Hiroki Kajita, Yoshifumi Takatsume, Tetsu Hayashida	4
12	Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning 2021 ·(unknown), Ryo Hachiuma, (unknown), Hideo Saitô	2
13	Spatiotemporal Video Highlight by Neural Network Considering Gaze and Hands of Surgeon in Egocentric Surgical Videos 2021 ·(unknown), Ryo Hachiuma, (unknown), Jingjing Pan, Kris Kitani, Hiroki Kajita, Tetsu Hayashida, Maki Sugimoto	4
14	Hand Motion-Aware Surgical Tool Localization and Classification from an Egocentric Camera 2021 ·Journal of Imaging ·Tomohiro Shimizu, Ryo Hachiuma, Hiroki Kajita, Yoshifumi Takatsume, Hideo Saitô	10
15	LCR-SMPL: Toward Real-time Human Detection and 3D Reconstruction from a Single RGB Image 2020 ·(unknown), Ryo Hachiuma, Antoine Pasquali, Hideo Saitô	3
16	Surgery Recording without Occlusions by Multi-view Surgical Videos 2020 ·Tomohiro Shimizu, (unknown), Ryo Hachiuma, Hiroki Kajita, (unknown), Hideo Saitô	5
17	Semantic Segmentation of 3D Point Cloud to Virtually Manipulate Real Living Space 2019 ·Yuki Ishikawa, Ryo Hachiuma, (unknown), (unknown), Yuta Sugiura, Hideo Saitô	11
18	Joint Inpainting of RGB and Depth Images by Generative Adversarial Network with a Late Fusion Approach 2019 ·Ryo Fujii, Ryo Hachiuma, Hideo Saitô	2
19	Primitive Shape Recognition via Superquadric Representation using Large Margin Nearest Neighbor Classifier 2017 ·Ryo Hachiuma, (unknown), Hideo Saitô	1
20	Recognition and pose estimation of primitive shapes from depth images for spatial augmented reality 2016 ·Ryo Hachiuma, Hideo Saitô	5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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