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Chapter and Conference Paper
Inverting Adversarially Robust Networks for Image Synthesis
Despite unconditional feature inversion being the foundation of many image synthesis applications, training an inverter demands a high computational budget, large decoding capacity and imposing conditions such...
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Chapter and Conference Paper
Integration of Spatial Distribution in Imaging-Genetics
To better understand diseases such as cancer, it is crucial for computational inference to quantify the spatial distribution of various cell types within a tumor. To this end, we used Ripley’s K-statistic, whi...
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Article
Open AccessHalo-free Phase Contrast Microscopy
We present a new approach for retrieving halo-free phase contrast microscopy (hfPC) images by upgrading the conventional PC microscope with an external interferometric module, which generates sufficient data f...
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Chapter and Conference Paper
Fast Guided Global Interpolation for Depth and Motion
We study the problems of upsampling a low-resolution depth map and interpolating an initial set of sparse motion matches, with the guidance from a corresponding high-resolution color image. The common objectiv...
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Chapter and Conference Paper
Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization
Most existing image dehazing methods tend to boost local image contrast for regions with heavy haze. Without special treatment, these methods may significantly amplify existing image artifacts such as noise, c...
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Chapter and Conference Paper
RepMatch: Robust Feature Matching and Pose for Reconstructing Modern Cities
A perennial problem in recovering 3-D models from images is repeated structures common in modern cities. The problem can be traced to the feature matcher which needs to match less distinctive features (permitt...
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Chapter and Conference Paper
Realtime Face Verification with Lightweight Convolutional Neural Networks
Face verification is a promising method for user authentication. Besides existing methods with deep convolutional neural networks to handle millions of people using powerful computing systems, the authors aim ...
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Chapter and Conference Paper
Bilateral Functions for Global Motion Modeling
This paper proposes modeling motion in a bilateral domain that augments spatial information with the motion itself. We use the bilateral domain to reformulate a piecewise smooth constraint as continuous global...
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Chapter and Conference Paper
Complex Shear Modulus Estimation Using Maximum Likelihood Ensemble Filters
Ultrasound shear wave imaging can be used to estimate quantitative information about soft tissue mechanical properties, specifically the complex shear modulus (CSM). It is promising because it has the potentia...
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Chapter and Conference Paper
Application of l 1 Regularization for High-Quality Reconstruction of Ultrasound Tomography
Ultrasound tomography based on inverse scattering has the capability to resolve structures which are smaller than the wavelength of the incident wave, as opposed to conventional ultrasound imaging using echo m...
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Chapter and Conference Paper
Bayesian Blind Deconvolution with General Sparse Image Priors
We present a general method for blind image deconvolution using Bayesian inference with super-Gaussian sparse image priors. We consider a large family of priors suitable for modeling natural images, and develo...
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Chapter and Conference Paper
Integrated Browsing and Searching of Large Image Collections
Current image retrieval systems offer either an exploratory search method through browsing and navigation or a direct search method based on specific queries. Combining both of these methods in a uniform frame...
