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01/15/2023
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels
Cardiac segmentation is in great demand for clinical practice. Due to th...
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03/30/2022
Monitored Distillation for Positive Congruent Depth Completion
We propose a method to infer a dense depth map from a single image, its ...
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09/18/2021
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding
We present a method to segment MRI scans of the human brain into ischemi...
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06/06/2021
An Adaptive Framework for Learning Unsupervised Depth Completion
We present a method to infer a dense depth map from a color image and as...
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05/01/2021
Stabilization of generative adversarial networks via noisy scale-space
Generative adversarial networks (GAN) is a framework for generating fake...
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12/21/2020
Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label
Regularization is essential for avoiding over-fitting to training data i...
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04/14/2020
Stochastic batch size for adaptive regularization in deep network optimization
We propose a first-order stochastic optimization algorithm incorporating...
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07/23/2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
We present an adaptive regularization algorithm that can be effectively ...
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07/21/2019
Adaptive Weight Decay for Deep Neural Networks
Regularization in the optimization of deep neural networks is often crit...
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03/18/2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
Supervised learning methods to infer (hypothesize) depth of a scene from...
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11/20/2017
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
We present a stochastic first-order optimization algorithm, named BCSC, ...
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05/09/2017
Adaptive Regularization of Some Inverse Problems in Image Analysis
We present an adaptive regularization scheme for optimizing composite en...
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02/27/2017
Multi-Label Segmentation via Residual-Driven Adaptive Regularization
We present a variational multi-label segmentation algorithm based on a r...
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09/08/2016
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems
We propose an adaptive regularization scheme in a variational framework ...
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03/24/2016
Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces
We formulate a general energy and method for segmentation that is design...
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02/06/2014
