Search Results for author: Kazuki Maeno

Found 3 papers, 1 papers with code

Anomaly Detection with Adversarial Dual Autoencoders

2 code implementations arXiv.org 2019 Ha Son Vu, Daisuke Ueta, Kiyoshi Hashimoto, Kazuki Maeno, Sugiri Pranata, Sheng Mei Shen

Semi-supervised and unsupervised Generative Adversarial Networks (GAN)-based methods have been gaining popularity in anomaly detection task recently.

Anomaly Detection Image Generation

Light Field Distortion Feature for Transparent Object Recognition

no code implementations CVPR 2013 Kazuki Maeno, Hajime Nagahara, Atsushi Shimada, Rin-ichiro Taniguchi

These approaches though cannot apply to transparent objects made of glass or plastic, as such objects take on the visual features of background objects, and the appearance of such objects dramatically varies with changes in scene background.

Object Object Recognition +1

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