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07/17/2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks
Despite their remarkable performance, deep neural networks remain mostly...
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05/17/2023
SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations
Solving partial differential equations (PDEs) has been a fundamental pro...
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05/10/2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series
Causal discovery in time-series is a fundamental problem in the machine ...
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02/15/2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data
Causal discovery from time-series data has been a central task in machin...
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01/16/2023
DarkVision: A Benchmark for Low-light Image/Video Perception
Imaging and perception in photon-limited scenarios is necessary for vari...
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11/12/2022
TINC: Tree-structured Implicit Neural Compression
Implicit neural representation (INR) can describe the target scenes with...
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09/30/2022
SCI: A spectrum concentrated implicit neural compression for biomedical data
Massive collection and explosive growth of the huge amount of medical da...
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07/17/2022
INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions
Under low-light environment, handheld photography suffers from severe ca...
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09/18/2021
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
Signal capture stands in the forefront to perceive and understand the en...
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04/07/2021
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
High quality imaging usually requires bulky and expensive lenses to comp...
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11/30/2020
Vehicle Reconstruction and Texture Estimation Using Deep Implicit Semantic Template Mapping
We introduce VERTEX, an effective solution to recover 3D shape and intri...
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03/30/2020
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Snapshot compressive imaging (SCI) aims to capture the high-dimensional ...
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07/20/2018
Rank Minimization for Snapshot Compressive Imaging
Snapshot compressive imaging (SCI) refers to compressive imaging systems...
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07/11/2017
Experimental comparison of single-pixel imaging algorithms
Single-pixel imaging (SPI) is a novel technique capturing 2D images usin...
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03/01/2016
Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient
Fourier ptychographic microscopy (FPM) is a novel computational coherent...
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12/01/2015
Fast and High Quality Highlight Removal from A Single Image
Specular reflection exists widely in photography and causes the recorded...
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06/19/2015
Scene-adaptive Coded Apertures Imaging
Coded aperture imaging systems have recently shown great success in reco...
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12/06/2013