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Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
Multi-label zero-shot classification aims to predict multiple unseen cla...
07/30/2020 ∙ by He Huang, et al. ∙
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Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device
Coronavirus Disease 2019 (COVID-19) has become a serious global epidemic...
04/15/2020 ∙ by Zheng Jiang, et al. ∙
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Fair Bandit Learning with Delayed Impact of Actions
Algorithmic fairness has been studied mostly in a static setting where t...
02/24/2020 ∙ by Wei Tang, et al. ∙
5
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Scalable Double Regularization for 3D Nano-CT Reconstruction
Nano-CT (computerized tomography) has emerged as a non-destructive high-...
09/05/2019 ∙ by Wei Tang, et al. ∙
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A Compositional Textual Model for Recognition of Imperfect Word Images
Printed text recognition is an important problem for industrial OCR syst...
11/27/2018 ∙ by Wei Tang, et al. ∙
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MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation
To synthesize high quality person images with arbitrary poses is challen...
10/19/2018 ∙ by Wei Tang, et al. ∙
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ReabsNet: Detecting and Revising Adversarial Examples
Though deep neural network has hit a huge success in recent studies and ...
12/21/2017 ∙ by Jiefeng Chen, et al. ∙
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Study on a Poisson's Equation Solver Based On Deep Learning Technique
In this work, we investigated the feasibility of applying deep learning ...
12/15/2017 ∙ by Tao Shan, et al. ∙
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