103 citations · 191 across the 4 of their papers we have counts for
8 papers
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda +3
Recent works have shown that exploiting multi-scale representations deeply learned via convolutional neural networks (CNN) is of tremendous importance for accurate contour detectio…
Depression Severity Estimation from Multiple Modalities
Evgeny Stepanov, Stephane Lathuiliere, Shammur Absar Chowdhury +4
Depression is a major debilitating disorder which can affect people from all ages. With a continuous increase in the number of annual cases of depression, there is a need to develo…
Abnormal Event Detection in Videos using Generative Adversarial Nets
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto +3
In this paper we address the abnormality detection problem in crowded scenes. We propose to use Generative Adversarial Nets (GANs), which are trained using normal frames and corres…
What your Facebook Profile Picture Reveals about your Personality
Cristina Segalin, Fabio Celli, Luca Polonio +5
People spend considerable effort managing the impressions they give others. Social psychologists have shown that people manage these impressions differently depending upon their pe…
Viraliency: Pooling Local Virality
Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu +2
In our overly-connected world, the automatic recognition of virality - the quality of an image or video to be rapidly and widely spread in social networks - is of crucial importanc…
PET: An Eye-tracking Dataset for Animal-centric PASCAL Object Classes
Syed Omer Gilani, Ramanathan Subramanian, Yan Yan +3
We present the Pascal animal classes Eye Tracking database. Our database comprises eye movement recordings compiled from forty users for the bird, cat, cow, dog, horse and sheep {t…