16 citations · 27 across the 4 of their papers we have counts for
4 papers
PUAD: Frustratingly Simple Method for Robust Anomaly Detection
Shota Sugawara, Ryuji Imamura
Developing an accurate and fast anomaly detection model is an important task in real-time computer vision applications. There has been much research to develop a single model that…
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation
Ryuji Imamura, Takuma Seno, Kenta Kawamoto +1
When humans play virtual racing games, they use visual environmental information on the game screen to understand the rules within the environments. In contrast, a state-of-the-art…
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection
Ryuji Imamura, Kohei Azuma, Atsushi Hanamoto +1
Anomalies in images occur in various scales from a small hole on a carpet to a large stain. However, anomaly detection based on sparse coding, one of the widely used anomaly detect…
Self-supervised Hyperspectral Image Restoration using Separable Image Prior
Ryuji Imamura, Tatsuki Itasaka, Masahiro Okuda
Supervised learning with a convolutional neural network is recognized as a powerful means of image restoration. However, most such methods have been designed for application to gra…