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06/02/2023
GANs Settle Scores!
Generative adversarial networks (GANs) comprise a generator, trained to ...
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06/01/2023
Data Interpolants – That's What Discriminators in Higher-order Gradient-regularized GANs Are
We consider the problem of optimizing the discriminator in generative ad...
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05/12/2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Training Generative adversarial networks (GANs) stably is a challenging ...
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07/23/2021
Wavelet Design in a Learning Framework
Wavelets have proven to be highly successful in several signal and image...
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05/25/2021
Learning Generative Prior with Latent Space Sparsity Constraints
We address the problem of compressed sensing using a deep generative pri...
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05/13/2021
Quantized Proximal Averaging Network for Analysis Sparse Coding
We solve the analysis sparse coding problem considering a combination of...
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05/01/2021
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model – Application to Seismic Reflectivity Inversion
We solve the problem of sparse signal deconvolution in the context of se...
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04/10/2021
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network
We consider the reflection seismology problem of recovering the location...
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12/13/2020
Robust Segmentation of Optic Disc and Cup from Fundus Images Using Deep Neural Networks
Optic disc (OD) and optic cup (OC) are regions of prominent clinical int...
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10/29/2020
Teaching a GAN What Not to Learn
Generative adversarial networks (GANs) were originally envisioned as uns...
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10/02/2018
Quantization-Aware Phase Retrieval
We address the problem of phase retrieval (PR) from quantized measuremen...
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01/19/2018
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals
Time- and pitch-scale modifications of speech signals find important app...
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10/11/2017
PROSE: Perceptual Risk Optimization for Speech Enhancement
The goal in speech enhancement is to obtain an estimate of clean speech ...
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12/06/2014
Risk Estimation Without Using Stein's Lemma -- Application to Image Denoising
We address the problem of image denoising in additive white noise withou...
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10/27/2014
Directional Bilateral Filters
We propose a bilateral filter with a locally controlled domain kernel fo...
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08/26/2014
ℓ_1-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous Update
We develop a dictionary learning algorithm by minimizing the ℓ_1 distort...
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03/19/2014
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation
In big data image/video analytics, we encounter the problem of learning ...
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12/03/2013
