226 citations · 750 across the 46 of their papers we have counts for
7 papers · 1 filter
Modelling depth for nonparametric foreground segmentation using RGBD devices
Gabriel Moyà-Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó +1
The problem of detecting changes in a scene and segmenting the foreground from background is still challenging, despite previous work. Moreover, new RGBD capturing devices include…
Automatic Annotation of Structured Facts in Images
Mohamed Elhoseiny, Scott Cohen, Walter Chang +2
Motivated by the application of fact-level image understanding, we present an automatic method for data collection of structured visual facts from images with captions. Example str…
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks
Babak Saleh, Ahmed Elgammal, Jacob Feldman
Deep artificial neural networks have made remarkable progress in different tasks in the field of computer vision. However, the empirical analysis of these models and investigation…
Manifold-Kernels Comparison in MKPLS for Visual Speech Recognition
Amr Bakry, Ahmed Elgammal
Speech recognition is a challenging problem. Due to the acoustic limitations, using visual information is essential for improving the recognition accuracy in real-life unconstraint…
Learning Kernels for Structured Prediction using Polynomial Kernel Transformations
Chetan Tonde, Ahmed Elgammal
Learning the kernel functions used in kernel methods has been a vastly explored area in machine learning. It is now widely accepted that to obtain 'good' performance, learning a ke…
Supervised Dimensionality Reduction via Distance Correlation Maximization
Praneeth Vepakomma, Chetan Tonde, Ahmed Elgammal
In our work, we propose a novel formulation for supervised dimensionality reduction based on a nonlinear dependency criterion called Statistical Distance Correlation, Szekely et. a…
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Mohamed Elhoseiny, Ahmed Elgammal, Babak Saleh
People typically learn through exposure to visual concepts associated with linguistic descriptions. For instance, teaching visual object categories to children is often accompanied…