activity
20152019
most citedPrediction of Search Targets From Fixations in Open-World Settings

48 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2019

Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction

Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll +1

Modern approaches to pose and body shape estimation have recently achieved strong performance even under challenging real-world conditions. Even from a single image of a clothed pe…

cs.CV2018★ 1 cited

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources

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 annotatio…

cs.CV2017★ 4 cited

Visual Decoding of Targets During Visual Search From Human Eye Fixations

Hosnieh Sattar, Mario Fritz, Andreas Bulling

What does human gaze reveal about a users' intents and to which extend can these intents be inferred or even visualized? Gaze was proposed as an implicit source of information to p…

cs.CV2016★ 1 cited

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

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. In contrast to previous work tha…

cs.CV2015★ 48 cited

Prediction of Search Targets From Fixations in Open-World Settings

Hosnieh Sattar, Sabine Müller, Mario Fritz +1

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 perfor…