Viewing profile — timofter

Please check our research papers linked on the webpage. Our data consists only from normal (or natural looking) face images in the wild (from IMDB, Wiki, and/or BLINQ user profiles…

The ratings are "like" (positive) and "dislike" (negative). If men have ratings close to uniform distribution (44.81% are "like" ratings, 55.19% are "dislike"), women with only 8.5…

Hi sethbannon, I am Radu, one of the authors. We thought at similar experiments, however psychology is not our expertise. If you check our paper on hotness/attractiveness ( http://…

Hi tsumnia, I am Radu, one of the authors. After 2 years we face almost the same issues, but probably we cope differently with them. Note that our solutions are fully described in …

The first processing step consist from (human) face detection. We use the standard OpenCV for our faces.ethz.ch demonstrator. A failure of this step is likely to propagate in the u…

Yes, it is a foreseen application.

Hi fatjokes, I am Radu, one of the authors. As mentioned in our article ( http://arxiv.org/abs/1510.07867v1 ), the training dataset for attractiveness is from Blinq. The underage a…

Yes, this was the data we worked with for attractiveness modeling. The algorithm learns from millions of ratings from males to females and from females to males, all heterosexuals.…