8 citations · 17 across the 8 of their papers we have counts for
6 papers · 1 filter
Commonsense Knowledge from Scene Graphs for Textual Environments
Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori
Text-based games are becoming commonly used in reinforcement learning as real-world simulation environments. They are usually imperfect information games, and their interactions ar…
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin +7
Image-based sports analytics enable automatic retrieval of key events in a game to speed up the analytics process for human experts. However, most existing methods focus on structu…
Spatially-weighted Anomaly Detection with Regression Model
Daiki Kimura, Minori Narita, Asim Munawar +1
Visual anomaly detection is common in several applications including medical screening and production quality check. Although a definition of the anomaly is an unknown trend in dat…
Spatially-weighted Anomaly Detection
Minori Narita, Daiki Kimura, Ryuki Tachibana
Many types of anomaly detection methods have been proposed recently, and applied to a wide variety of fields including medical screening and production quality checking. Some metho…
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar +4
This paper is a contribution towards interpretability of the deep learning models in different applications of time-series. We propose a temporal attention layer that is capable of…
DAQN: Deep Auto-encoder and Q-Network
Daiki Kimura
The deep reinforcement learning method usually requires a large number of training images and executing actions to obtain sufficient results. When it is extended a real-task in the…