Mohammad T. Islam

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The expected appearance of a human face depends strongly on age, ethnicity and gender. While these relationships are well-studied, our work explores the little-studied dependence of facial appearance on geographic location. To support this effort, we constructed GeoFaces, a large dataset of geotagged face images. We examine the geo-dependence of Eigenfaces(More)
The time and location that an image is captured indirectly defines the appearance of the scene. However, for outdoor scenes, the more directly relevant variables that affect image appearance are the scene structure, local weather conditions, and the position of the sun. In this paper, we present a large dataset of archived time-lapse imagery with associated(More)
The facial appearance of a person is a product of many factors, including their gender, age, and ethnicity. Methods for estimating these latent factors directly from an image of a face have been extensively studied for decades. We extend this line of work to include estimating the location where the image was taken. We propose a deep network architecture(More)
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