Publications by Hazim Kemal Ekenel

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In this paper, we introduce a new template-based spectral nonrigid registration method in which the target is represented using multilevel partition of unity (MPU) implicit surfaces and the template is embedded in a discrete Laplace-Beltrami based spectral ...

Littering quantification is an important step for improving cleanliness of cities. When human interpretation is too cumbersome or in some cases impossible, an objective index of cleanliness could reduce the littering by awareness actions. In this paper, we ...

Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsampling. However, in real-world SR, there is a large variety of realistic image de ...

Hazim Kemal Ekenel

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3D Spectral Nonrigid Registration of Facial Expression Scans

A Computer Vision System to Localize and Classify Wastes on the Streets

Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection