4 citations · 9 across the 11 of their papers we have counts for
11 papers
Vertex-based Networks to Accelerate Path Planning Algorithms
Yuanhang Zhang, Jundong Liu
Path planning plays a crucial role in various autonomy applications, and RRT* is one of the leading solutions in this field. In this paper, we propose the utilization of vertex-bas…
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
Marc Baltes, Nidal Abujahar, Ye Yue +2
The field of machine learning has been greatly transformed with the advancement of deep artificial neural networks (ANNs) and the increased availability of annotated data. Spiking…
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Ye Yue, Marc Baltes, Nidal Abujahar +4
Over the past decade, artificial neural networks (ANNs) have made tremendous advances, in part due to the increased availability of annotated data. However, ANNs typically require…
Individualized Conditioning and Negative Distances for Speaker Separation
Tao Sun, Nidal Abuhajar, Shuyu Gong +5
Speaker separation aims to extract multiple voices from a mixed signal. In this paper, we propose two speaker-aware designs to improve the existing speaker separation solutions. Th…
A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models
Binhua Liao, Yani Chen, Zhewei Wang +2
In this paper, we explore the capabilities of a number of deep neural network models in generating whole-brain 3T-like MR images from clinical 1.5T MRIs. The models include a fully…
Dilated FCN: Listening Longer to Hear Better
Shuyu Gong, Zhewei Wang, Tao Sun +4
Deep neural network solutions have emerged as a new and powerful paradigm for speech enhancement (SE). The capabilities to capture long context and extract multi-scale patterns are…
Residual Pyramid FCN for Robust Follicle Segmentation
Zhewei Wang, Weizhen Cai, Charles D. Smith +3
In this paper, we propose a pyramid network structure to improve the FCN-based segmentation solutions and apply it to label thyroid follicles in histology images. Our design is bas…
TraceCaps: A Capsule-based Neural Network for Semantic Segmentation
Tao Sun, Zhewei Wang, C. D. Smith +1
In this paper, we propose a capsule-based neural network model to solve the semantic segmentation problem. By taking advantage of the extractable part-whole dependencies available…
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation
Zhewei Wang, Charles D. Smith, Jundong Liu
In this paper, we develop a two-stage neural network solution for the challenging task of white-matter lesion segmentation. To cope with the vast vari- ability in lesion sizes, we…
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups
Zhewei Wang, Bibo Shi, Charles D. Smith +1
In this paper, we propose a nonlinear distance metric learning scheme based on the fusion of component linear metrics. Instead of merging displacements at each data point, our mode…
Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations
Bibo Shi, Jundong Liu
In recent years, research efforts to extend linear metric learning models to handle nonlinear structures have attracted great interests. In this paper, we propose a novel nonlinear…