research
∙
06/07/2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
The plug-and-play priors (PnP) and regularization by denoising (RED) met...
share
research
∙
01/22/2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Deep unfolding networks have recently gained popularity in the context o...
research
∙
11/26/2020
Joint Reconstruction and Calibration using Regularization by Denoising
Regularization by denoising (RED) is a broadly applicable framework for ...
research
∙
10/14/2020
Practical Deep Raw Image Denoising on Mobile Devices
Deep learning-based image denoising approaches have been extensively stu...
research
∙
10/03/2020
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Regularization by denoising (RED) is a recently developed framework for ...
research
∙
09/29/2020
Deep Image Reconstruction using Unregistered Measurements without Groundtruth
One of the key limitations in conventional deep learning based image rec...
research
∙
03/15/2020
FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images
Ship detection using high-resolution remote sensing images is an importa...
research
∙
09/20/2019
EATEN: Entity-aware Attention for Single Shot Visual Text Extraction
Extracting entity from images is a crucial part of many OCR applications...
research
∙
09/20/2019
Infusing Learned Priors into Model-Based Multispectral Imaging
We introduce a new algorithm for regularized reconstruction of multispec...
research
∙
09/17/2019
Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning
Most existing text reading benchmarks make it difficult to evaluate the ...
research
∙
09/10/2019
Disentangled Image Matting
Most previous image matting methods require a roughly-specificed trimap ...
research
∙
09/04/2019
Online Regularization by Denoising with Applications to Phase Retrieval
Regularization by denoising (RED) is a powerful framework for solving im...
research
∙
08/08/2019
Editing Text in the Wild
In this paper, we are interested in editing text in natural images, whic...
research
∙
08/06/2019
Semi-supervised Skin Detection by Network with Mutual Guidance
In this paper we present a new data-driven method for robust skin detect...
research
∙
05/13/2019
Block Coordinate Regularization by Denoising
We consider the problem of estimating a vector from its noisy measuremen...
research
∙
05/08/2019
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference
In this paper, we present a new inpainting framework for recovering miss...
research
∙
04/29/2019
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
In this paper, we present new data pre-processing and augmentation techn...
research
∙
01/02/2019
Detecting Text in the Wild with Deep Character Embedding Network
Most text detection methods hypothesize texts are horizontal or multi-or...
research
∙
12/24/2018
TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network
Reading text from images remains challenging due to multi-orientation, p...
research
∙
10/30/2018