80 citations · 117 across the 8 of their papers we have counts for
8 papers
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel +1
Cross-domain synthesizing realistic faces to learn deep models has attracted increasing attention for facial expression analysis as it helps to improve the performance of expressio…
Learn to synthesize and synthesize to learn
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazım Kemal Ekenel +1
Attribute guided face image synthesis aims to manipulate attributes on a face image. Most existing methods for image-to-image translation can either perform a fixed translation bet…
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng +4
Training robust deep learning (DL) systems for disease detection from medical images is challenging due to limited images covering different disease types and severity. The problem…
Robust Real-Time Multi-View Eye Tracking
Nuri Murat Arar, Jean-Philippe Thiran
Despite significant advances in improving the gaze tracking accuracy under controlled conditions, the tracking robustness under real-world conditions, such as large head pose and m…
A Computer Vision System to Localize and Classify Wastes on the Streets
Mohammad Saeed Rad, Andreas von Kaenel, Andre Droux +4
Littering quantification is an important step for improving cleanliness of cities. When human interpretation is too cumbersome or in some cases impossible, an objective index of cl…
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
Marina Zimmermann, Mostafa Mehdipour Ghazi, Hazım Kemal Ekenel +1
Automatic visual speech recognition is an interesting problem in pattern recognition especially when audio data is noisy or not readily available. It is also a very challenging tas…