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Image Super-Resolution Using Dense Skip Connections
TLDR
In this study, we present a novel single-image super-resolution method by introducing dense skip connections in a very deep network. Expand
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Palmprint recognition with Local Micro-structure Tetra Pattern
TLDR
This paper presents a unique local descriptor called Local Micro-structure Tetra Pattern (LMTrP) and its application to palmprint recognition. Expand
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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
TLDR
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. Expand
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Spectrum sharing scenarios and resulting technical requirements for 5G systems
TLDR
The spectrum sharing toolbox is proposed as the basis for the design of spectrum sharing related functionality in future mobile broadband systems. Expand
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Jersey Number Recognition with Semi-Supervised Spatial Transformer Network
TLDR
It is still a challenging task to recognize the jersey number of players on the court in soccer match videos, as the jersey numbers are very small in the object detection task and annotated data are not easy to collect. Expand
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Mixture of Gaussians-Based Background Subtraction for Bayer-Pattern Image Sequences
TLDR
This letter proposes a background subtraction method for Bayer-pattern image sequences. Expand
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An empirical study of palmprint recognition for mobile phones
TLDR
An improved version of the Competitive Code is proposed to cope with the variation in mobile images, and two practical verification scenarios are suggested to further improve the verification performance. Expand
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Background Compensation for Pan-Tilt-Zoom Cameras Using 1-D Feature Matching and Outlier Rejection
TLDR
We propose an efficient and robust background compensation method for pan-tilt-zoom cameras. Expand
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Recognizability assessment of facial images for automated teller machine applications
TLDR
This paper proposes a system which assesses the recognizability of facial images of ATM users to determine whether their faces are severely occluded. Expand
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MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation
TLDR
We propose the MASTER framework, i.e., across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation. Expand
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