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08/24/2023
Sparks of Large Audio Models: A Survey and Outlook
This survey paper provides a comprehensive overview of the recent advanc...
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06/22/2023
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
The ability of generative models to produce highly realistic synthetic f...
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06/16/2023
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search
The success of deep learning based face recognition systems has given ri...
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03/21/2023
Transformers in Speech Processing: A Survey
The remarkable success of transformers in the field of natural language ...
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01/24/2022
Transformers in Medical Imaging: A Survey
Following unprecedented success on the natural language tasks, Transform...
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01/01/2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
Deep reinforcement learning (DRL) is poised to revolutionise the field o...
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06/19/2020
Towards an Adversarially Robust Normalization Approach
Batch Normalization (BatchNorm) is effective for improving the performan...
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05/13/2020
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors
Recently pretrained generative models have shown promising results for s...
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02/28/2020
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior
In this paper, we consider the highly ill-posed problem of jointly recov...
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10/19/2019
Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing
This paper considers efficient sampling of simultaneously sparse and cor...
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08/20/2019
Blind Image Deconvolution using Pretrained Generative Priors
This paper proposes a novel approach to regularize the ill-posed blind i...
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12/22/2018
Deep Ptych: Subsampled Fourier Ptychography using Generative Priors
This paper proposes a novel framework to regularize the highly ill-posed...
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11/29/2018
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising
Among the plethora of techniques devised to curb the prevalence of noise...
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08/17/2018
Robust Compressive Phase Retrieval via Deep Generative Priors
This paper proposes a new framework to regularize the highly ill-posed a...
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02/12/2018