no code implementations • 27 May 2019 • Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz
Modern approaches to pose and body shape estimation have recently achieved strong performance even under challenging real-world conditions.
no code implementations • 9 Jul 2018 • Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz
To study the correlation between clothing garments and body shape, we collected a new dataset (Fashion Takes Shape), which includes images of users with clothing category annotations.
no code implementations • 19 Jun 2017 • Hosnieh Sattar, Mario Fritz, Andreas Bulling
Such visual decoding is challenging for two reasons: 1) the search target only resides in the user's mind as a subjective visual pattern, and can most often not even be described verbally by the person, and 2) it is, as of yet, unclear if gaze fixations contain sufficient information for this task at all.
no code implementations • 27 Nov 2016 • Hosnieh Sattar, Andreas Bulling, Mario Fritz
Predicting the target of visual search from eye fixation (gaze) data is a challenging problem with many applications in human-computer interaction.
no code implementations • CVPR 2015 • Hosnieh Sattar, Sabine Müller, Mario Fritz, Andreas Bulling
Previous work on predicting the target of visual search from human fixations only considered closed-world settings in which training labels are available and predictions are performed for a known set of potential targets.