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4 papers · 2 filters
Deep intrinsic decomposition trained on surreal scenes yet with realistic light effects
Hassan Sial, Ramon Baldrich, Maria Vanrell
Estimation of intrinsic images still remains a challenging task due to weaknesses of ground-truth datasets, which either are too small or present non-realistic issues. On the other…
Benefits of temporal information for appearance-based gaze estimation
Cristina Palmero, Oleg V. Komogortsev, Sachin S. Talathi
State-of-the-art appearance-based gaze estimation methods, usually based on deep learning techniques, mainly rely on static features. However, temporal trace of eye gaze contains u…
Semi-supervised Learning for Few-shot Image-to-Image Translation
Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia +2
In the last few years, unpaired image-to-image translation has witnessed remarkable progress. Although the latest methods are able to generate realistic images, they crucially rely…
Distributed Learning and Inference with Compressed Images
Sudeep Katakol, Basem Elbarashy, Luis Herranz +2
Modern computer vision requires processing large amounts of data, both while training the model and/or during inference, once the model is deployed. Scenarios where images are capt…