Conditional Adversarial Synthesis of 3D Facial Action Units
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.05.003
Abstract: Abstract Employing deep learning-based approaches for fine-grained facial expression analysis, such as those involving the estimation of Action Unit (AU) intensities, is difficult due to the lack of a large-scale dataset of real faces with… read more here.
Keywords: conditional adversarial; expression parameters; dataset; expression ... See more keywords
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
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DOI: 10.1109/access.2018.2872717
Abstract: One of the major obstacles in automatic polyp detection during colonoscopy is the lack of labeled polyp training images. In this paper, we propose a framework of conditional adversarial networks to increase the number of… read more here.
Keywords: polyp; conditional adversarial; image; detection ... See more keywords
Domain Adaptive Graph Infomax via Conditional Adversarial Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3201529
Abstract: The emerging graph neural networks (GNNs) have demonstrated impressive performance on the node classification problem in complex networks. However, existing GNNs are mainly devised to classify nodes in a (partially) labeled graph. To classify nodes… read more here.
Keywords: node representations; domain adaptive; adversarial networks; graph ... See more keywords