On potentials of regularized Wasserstein generative adversarial networks for realistic hallucination of tiny faces
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.046
Abstract: Abstract Super-resolution of facial images, a.k.a. face hallucination, has been intensively studied in the past decades due to the increasingly emerging analysis demands in video surveillance, e.g., face detection, verification, identification. However, the actual performance… read more here.
Keywords: generative adversarial; tiny faces; realistic hallucination; adversarial networks ... See more keywords
Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy
Sign Up to like & getrecommendations! Published in 2022 at "RSC Advances"
DOI: 10.1039/d1ra06905e
Abstract: Feature extraction is a key factor to detect pesticides using terahertz spectroscopy. Compared to traditional methods, deep learning is able to obtain better insights into complex data features at high levels of abstraction. However, reports… read more here.
Keywords: network; adversarial network; spectroscopy; terahertz spectroscopy ... See more keywords
Multi-Source Medical Image Fusion Based on Wasserstein Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2955382
Abstract: In this paper, we propose the medical Wasserstein generative adversarial networks (MWGAN), an end-to-end model, for fusing magnetic resonance imaging (MRI) and positron emission tomography (PET) medical images. Our method establishes two adversarial games between… read more here.
Keywords: generative adversarial; fusion; adversarial networks; wasserstein generative ... See more keywords
Wasserstein Generative Adversarial Network for Depth Completion with Anisotropic Diffusion Depth Enhancement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3142916
Abstract: The objective of depth completion is to generate a dense depth map by upsampling a sparse one. However, irregular sparse patterns or the lack of groundtruth data caused by unstructured data make depth completion extremely… read more here.
Keywords: depth; adversarial network; depth completion; generative adversarial ... See more keywords
Partial Discharge Data Augmentation Based on Improved Wasserstein Generative Adversarial Network With Gradient Penalty
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3197839
Abstract: The partial discharge (PD) classification for electric power equipment based on machine learning algorithms often leads to insufficient generalization ability and low recognition accuracy. To solve the problem, this article develops an improved Wasserstein generative… read more here.
Keywords: partial discharge; adversarial network; network gradient; generative adversarial ... See more keywords
Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3207798
Abstract: Real-time crash risk prediction models aim to identify pre-crash conditions as part of active traffic safety management. However, traditional models which were mainly developed through matched case-control sampling have been criticised due to their biased… read more here.
Keywords: network; prediction; real time; crash ... See more keywords
Dynamic Facial Expression Generation on Hilbert Hypersphere With Conditional Wasserstein Generative Adversarial Nets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.3002500
Abstract: In this work, we propose a novel approach for generating videos of the six basic facial expressions given a neutral face image. We propose to exploit the face geometry by modeling the facial landmarks motion… read more here.
Keywords: expression; facial expression; generation; generative adversarial ... See more keywords
Rectified Wasserstein Generative Adversarial Networks for Perceptual Image Restoration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3185316
Abstract: Wasserstein generative adversarial network (WGAN) has attracted great attention due to its solid mathematical background, i.e., to minimize the Wasserstein distance between the generated distribution and the distribution of interest. In WGAN, the Wasserstein distance… read more here.
Keywords: image restoration; generative adversarial; wasserstein generative; rectified wasserstein ... See more keywords