39 citations · 119 across the 12 of their papers we have counts for
13 papers
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
Mingzhen Shao, Zhun Sun, Mete Ozay +1
We address a problem of estimating pose of a person's head from its RGB image. The employment of CNNs for the problem has contributed to significant improvement in accuracy in rece…
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries
Junjie Hu, Mete Ozay, Yan Zhang +1
This paper considers the problem of single image depth estimation. The employment of convolutional neural networks (CNNs) has recently brought about significant advancements in the…
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
Masanori Suganuma, Mete Ozay, Takayuki Okatani
Researchers have applied deep neural networks to image restoration tasks, in which they proposed various network architectures, loss functions, and training methods. In particular,…
Deep Structured Energy-Based Image Inpainting
Fazil Altinel, Mete Ozay, Takayuki Okatani
In this paper, we propose a structured image inpainting method employing an energy based model. In order to learn structural relationship between patterns observed in images and mi…
A vision based system for underwater docking
Shuang Liu, Mete Ozay, Takayuki Okatani +3
Autonomous underwater vehicles (AUVs) have been deployed for underwater exploration. However, its potential is confined by its limited on-board battery energy and data storage capa…
HyperNetworks with statistical filtering for defending adversarial examples
Zhun Sun, Mete Ozay, Takayuki Okatani
Deep learning algorithms have been known to be vulnerable to adversarial perturbations in various tasks such as image classification. This problem was addressed by employing severa…