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08/25/2023
Adaptive whitening with fast gain modulation and slow synaptic plasticity
Neurons in early sensory areas rapidly adapt to changing sensory statist...
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03/06/2023
Polar Prediction of Natural Videos
Observer motion and continuous deformations of objects and surfaces imbu...
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03/06/2023
Learning multi-scale local conditional probability models of images
Deep neural networks can learn powerful prior probability models for ima...
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01/27/2023
Statistical whitening of neural populations with gain-modulating interneurons
Statistical whitening transformations play a fundamental role in many co...
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07/27/2021
Adaptive Denoising via GainTuning
Deep convolutional neural networks (CNNs) for image denoising are usuall...
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11/30/2020
Unsupervised Deep Video Denoising
Deep convolutional neural networks (CNNs) currently achieve state-of-the...
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10/24/2020
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy
Denoising is a fundamental challenge in scientific imaging. Deep convolu...
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07/27/2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
Prior probability models are a central component of many image processin...
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06/30/2020
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model
We develop a model for representing visual texture in a low-dimensional ...
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05/04/2020
Comparison of Image Quality Models for Optimization of Image Processing Systems
The performance of objective image quality assessment (IQA) models has b...
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05/04/2020
A Comparative Study of Image Quality Assessment Models through Perceptual Optimization
The performance of objective image quality assessment (IQA) models has b...
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04/16/2020
Image Quality Assessment: Unifying Structure and Texture Similarity
Objective measures of image quality generally operate by making local co...
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06/13/2019
Robust and interpretable blind image denoising via bias-free convolutional neural networks
Deep convolutional networks often append additive constant ("bias") term...
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10/06/2017
Eigen-Distortions of Hierarchical Representations
We develop a method for comparing hierarchical image representations in ...
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01/23/2017
Perceptually Optimized Image Rendering
We develop a framework for rendering photographic images, taking into ac...
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11/05/2016
End-to-end Optimized Image Compression
We describe an image compression method, consisting of a nonlinear analy...
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07/06/2015
A model of sensory neural responses in the presence of unknown modulatory inputs
Neural responses are highly variable, and some portion of this variabili...
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12/20/2014
