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05/09/2021
Binarized Weight Error Networks With a Transition Regularization Term
This paper proposes a novel binarized weight network (BT) for a resource...
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12/12/2020
Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss
This study proposes a novel framework for spectral unmixing by using 1D ...
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06/08/2020
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging
Despite the widespread use of deep learning methods for semantic segment...
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01/17/2020
CHAOS Challenge – Combined (CT-MR) Healthy Abdominal Organ Segmentation
Segmentation of abdominal organs has been a comprehensive, yet unresolve...
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11/28/2018
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network
Automatic segmentation of medical images is among most demanded works in...
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08/03/2018
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty
In this study, we propose a novel framework for hyperspectral unmixing b...
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08/03/2018
Late Fusion of Local Indexing and Deep Feature Scores for Fast Image-to-Video Search on Large-Scale Databases
Low cost visual representation and fast query-by-example content search ...
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07/20/2018
Convolutional Neural Networks Analyzed via Inverse Problem Theory and Sparse Representations
Inverse problems in imaging such as denoising, deblurring, superresoluti...
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06/22/2018
Deep Spectral Convolution Network for HyperSpectral Unmixing
In this paper, we propose a novel hyperspectral unmixing technique based...
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08/24/2017
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction
Frame-level visual features are generally aggregated in time with the te...
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08/06/2017