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Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction
Modern approaches to pose and body shape estimation have recently achieved strong performance even under challenging real-world conditions.
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources
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.
Visual Decoding of Targets During Visual Search From Human Eye Fixations
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.
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling
Predicting the target of visual search from eye fixation (gaze) data is a challenging problem with many applications in human-computer interaction.
Prediction of Search Targets From Fixations in Open-World Settings
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.
