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10/12/2022
Individualized Conditioning and Negative Distances for Speaker Separation
Speaker separation aims to extract multiple voices from a mixed signal. ...
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research
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10/12/2022
A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models
In this paper, we explore the capabilities of a number of deep neural ne...
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07/27/2019
Dilated FCN: Listening Longer to Hear Better
Deep neural network solutions have emerged as a new and powerful paradig...
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01/11/2019
Residual Pyramid FCN for Robust Follicle Segmentation
In this paper, we propose a pyramid network structure to improve the FCN...
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01/09/2019
Trace-back Along Capsules and Its Application on Semantic Segmentation
In this paper, we propose a capsule-based neural network model to solve ...
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07/24/2018
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation
In this paper, we develop a two-stage neural network solution for the ch...
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05/12/2018
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups
In this paper, we propose a nonlinear distance metric learning scheme ba...
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05/12/2018
