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07/13/2023
Vertex-based Networks to Accelerate Path Planning Algorithms
Path planning plays a crucial role in various autonomy applications, and...
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02/14/2023
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Over the past decade, artificial neural networks (ANNs) have made tremen...
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10/12/2022
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning
Collision avoidance is a crucial task in vision-guided autonomous naviga...
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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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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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09/19/2021
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning
Autism Spectrum Disorder(ASD) is a set of neurodevelopmental conditions ...
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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
