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08/02/2023
On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field f...
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01/20/2023
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction
Depth estimation from light field (LF) images is a fundamental step for ...
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09/06/2022
LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images
Light field (LF) images with the multi-view property have many applicati...
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08/29/2022
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
Real estate prices have a significant impact on individuals, families, b...
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08/11/2022
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing
The study of socioeconomic status has been reformed by the availability ...
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03/29/2022
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator
Manually annotating 3D point clouds is laborious and costly, limiting th...
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02/21/2022
Point Cloud Denoising via Momentum Ascent in Gradient Fields
To achieve point cloud denoising, traditional methods heavily rely on ge...
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02/20/2022
MANet: Improving Video Denoising with a Multi-Alignment Network
In video denoising, the adjacent frames often provide very useful inform...
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10/29/2021
An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging
Imaging under photon-scarce situations introduces challenges to many app...
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10/05/2021
Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation
Transfer learning (TL) for medical image segmentation helps deep learnin...
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09/07/2020
Light Field View Synthesis via Aperture Flow and Propagation Confidence Map
This paper presents a learning-based approach to synthesize the view fro...
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03/29/2020
High-Order Residual Network for Light Field Super-Resolution
Plenoptic cameras usually sacrifice the spatial resolution of their SAIs...
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10/03/2019
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
We consider the problem of high-dimensional light field reconstruction a...
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09/27/2018
Image Reconstruction Using Deep Learning
This paper proposes a deep learning architecture that attains statistica...
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02/20/2018
Fast and robust misalignment correction of Fourier ptychographic microscopy
Fourier ptychographi cmicroscopy(FPM) is a newly developed computational...
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12/30/2016
Analysis of the noise in back-projection light field acquisition and its optimization
Light field reconstruction from images captured by focal plane sweeping ...
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05/24/2016
