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08/06/2023
Recurrent Spike-based Image Restoration under General Illumination
Spike camera is a new type of bio-inspired vision sensor that records li...
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07/12/2023
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views
The recent neural surface reconstruction by volume rendering approaches ...
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07/08/2023
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Image denoising is a fundamental problem in computational photography, w...
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09/06/2022
SIND: A Drone Dataset at Signalized Intersection in China
Intersection is one of the most challenging scenarios for autonomous dri...
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07/13/2022
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling
Low-light raw denoising is an important and valuable task in computation...
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06/30/2022
Revisiting Competitive Coding Approach for Palmprint Recognition: A Linear Discriminant Analysis Perspective
The competitive Coding approach (CompCode) is one of the most promising ...
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06/04/2022
Data-driven Construction of Hierarchical Matrices with Nested Bases
Hierarchical matrices provide a powerful representation for significantl...
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11/16/2021
Image-specific Convolutional Kernel Modulation for Single Image Super-resolution
Recently, deep-learning-based super-resolution methods have achieved exc...
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06/23/2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
Federated Learning (FL) has become an active and promising distributed m...
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01/22/2021
Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization
Snapshot hyperspectral imaging can capture the 3D hyperspectral image (H...
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11/15/2020
Efficient construction of an HSS preconditioner for symmetric positive definite ℋ^2 matrices
In an iterative approach for solving linear systems with ill-conditioned...
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05/19/2020
Acoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network
Acoustic Echo Cancellation (AEC) plays a key role in voice interaction. ...
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03/28/2020
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
Lacking rich and realistic data, learned single image denoising algorith...
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03/10/2020
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
In this paper, we propose an alternating directional 3D quasi-recurrent ...
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02/22/2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Plug-and-play (PnP) is a non-convex framework that combines ADMM or othe...
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02/20/2020
Graph Computing based Distributed State Estimation with PMUs
Power system state estimation plays a fundamental and critical role in t...
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10/18/2019
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection
In this paper, we propose a normal estimation method for unstructured 3D...
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09/27/2019
Playing Atari Ball Games with Hierarchical Reinforcement Learning
Human beings are particularly good at reasoning and inference from just ...
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04/01/2019
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
Removing undesirable reflections from a single image captured through a ...
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06/02/2017