2 citations · 5 across the 7 of their papers we have counts for
7 papers
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…