Search Results for author: Ryo Fujii

Found 8 papers, 2 papers with code

Weakly Semi-supervised Tool Detection in Minimally Invasive Surgery Videos

no code implementations5 Jan 2024 Ryo Fujii, Ryo Hachiuma, Hideo Saito

We further propose a co-occurrence loss, which considers a characteristic that some tool pairs often co-occur together in an image to leverage image-level labels.

Surgical tool detection

Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder

1 code implementation7 Apr 2023 Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa

We propose a deep variational autoencoder-based unsupervised anomaly detection network adapted to the 3D point cloud and an anomaly score specifically for 3D point clouds.

Unsupervised Anomaly Detection

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

no code implementations14 Mar 2022 Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma, Hideo Saito

However, most works rely on a key assumption that each video is successfully preprocessed by detection and tracking algorithms and the complete observed trajectory is always available.

Imputation Trajectory Prediction +1

Neural Implicit Event Generator for Motion Tracking

no code implementations6 Nov 2021 Mana Masuda, Yusuke Sekikawa, Ryo Fujii, Hideo Saito

Our framework use pre-trained event generation MLP named implicit event generator (IEG) and does motion tracking by updating its state (position and velocity) based on the difference between the observed event and generated event from the current state estimate.


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

no code implementations14 Oct 2021 Ryo Fujii, Ryo Hachiuma, Hideo Saito

We expand conventional image inpainting method to RGB-D image inpainting to jointly restore the texture and geometry of missing regions from a pair of RGB and depth images.

Generative Adversarial Network Image Inpainting +3

Nonparametric Bayesian Semi-supervised Word Segmentation

no code implementations TACL 2017 Ryo Fujii, Ryo Domoto, Daichi Mochihashi

This paper presents a novel hybrid generative/discriminative model of word segmentation based on nonparametric Bayesian methods.

Language Modelling Machine Translation +2

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