85 citations · 256 across the 30 of their papers we have counts for
13 papers · 1 filter
Localization in the Crowd with Topological Constraints
Shahira Abousamra, Minh Hoai, Dimitris Samaras +1
We address the problem of crowd localization, i.e., the prediction of dots corresponding to people in a crowded scene. Due to various challenges, a localization method is prone to…
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction
ShahRukh Athar, Albert Pumarola, Francesc Moreno-Noguer +1
Facial Expressions induce a variety of high-level details on the 3D face geometry. For example, a smile causes the wrinkling of cheeks or the formation of dimples, while being angr…
Physics-based Shadow Image Decomposition for Shadow Removal
Hieu Le, Dimitris Samaras
We propose a novel deep learning method for shadow removal. Inspired by physical models of shadow formation, we use a linear illumination transformation to model the shadow effects…
Intrinsic Decomposition of Document Images In-the-Wild
Sagnik Das, Hassan Ahmed Sial, Ke Ma +3
Automatic document content processing is affected by artifacts caused by the shape of the paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on r…
Distribution Matching for Crowd Counting
Boyu Wang, Huidong Liu, Dimitris Samaras +1
In crowd counting, each training image contains multiple people, where each person is annotated by a dot. Existing crowd counting methods need to use a Gaussian to smooth each anno…
Learning Clusterable Visual Features for Zero-Shot Recognition
Jingyi Xu, Zhixin Shu, Dimitris Samaras
In zero-shot learning (ZSL), conditional generators have been widely used to generate additional training features. These features can then be used to train the classifiers for tes…