activity
20202023
most citedDeep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation

9 citations · 22 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 6 cited

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…

cs.CV2023★ 1 cited

Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder

Mana Masuda, Ryo Hachiuma, Ryo Fujii +2

In this paper, we present an end-to-end unsupervised anomaly detection framework for 3D point clouds. To the best of our knowledge, this is the first work to tackle the anomaly det…

cs.CV2023

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

Ryo Hachiuma, Tomohiro Shimizu, Hideo Saito +2

Recording surgery in operating rooms is an essential task for education and evaluation of medical treatment. However, recording the desired targets, such as the surgery field, surg…

cs.CV2022

A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory

Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma +1

Trajectory prediction has gained great attention and significant progress has been made in recent years. However, most works rely on a key assumption that each video is successfull…

cs.CV2021

Neural Implicit Event Generator for Motion Tracking

Mana Masuda, Yusuke Sekikawa, Ryo Fujii +1

We present a novel framework of motion tracking from event data using implicit expression. Our framework use pre-trained event generation MLP named implicit event generator (IEG) a…

cs.CV2021★ 2 cited

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

Ryo Fujii, Ryo Hachiuma, Hideo Saito

Diminished reality is a technology that aims to remove objects from video images and fills in the missing region with plausible pixels. Most conventional methods utilize the differ…

cs.CV2020★ 4 cited

Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms

Akiyoshi Kurobe, Yoshikatsu Nakajima, Hideo Saito +1

The ability to both recognize and discover terrain characteristics is an important function required for many autonomous ground robots such as social robots, assistive robots, auto…

cs.CV2020★ 9 cited

Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation

Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18

There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…