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09/13/2023
Aggregating Long-term Sharp Features via Hybrid Transformers for Video Deblurring
Video deblurring methods, aiming at recovering consecutive sharp frames ...
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05/31/2023
Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive
Modern consumer cameras usually employ the rolling shutter (RS) mechanis...
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03/27/2023
Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
Natural videos captured by consumer cameras often suffer from low framer...
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11/26/2022
Learning Single Image Defocus Deblurring with Misaligned Training Pairs
By adopting popular pixel-wise loss, existing methods for defocus deblur...
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06/08/2022
Robust Deep Ensemble Method for Real-world Image Denoising
Recently, deep learning-based image denoising methods have achieved prom...
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04/26/2022
Learning Dual-Pixel Alignment for Defocus Deblurring
It is a challenging task to recover all-in-focus image from a single def...
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04/19/2022
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
Full-reference (FR) image quality assessment (IQA) evaluates the visual ...
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12/02/2020
Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance
Removing undesired reflection from an image captured through a glass sur...
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08/31/2020
Unpaired Learning of Deep Image Denoising
We investigate the task of learning blind image denoising networks from ...
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05/07/2020
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Deep learning-based object detection and instance segmentation have achi...
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03/25/2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Recent works have demonstrated that global covariance pooling (GCP) has ...
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11/19/2019
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Bounding box regression is the crucial step in object detection. In exis...
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08/06/2019
Neural Blind Deconvolution Using Deep Priors
Blind deconvolution is a classical yet challenging low-level vision prob...
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06/16/2019
STAR: A Structure and Texture Aware Retinex Model
Retinex theory is developed mainly to decompose an image into the illumi...
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01/26/2019
Progressive Image Deraining Networks: A Better and Simpler Baseline
Along with the deraining performance improvement of deep networks, their...
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12/11/2018
Unsupervised Degradation Learning for Single Image Super-Resolution
Deep Convolution Neural Networks (CNN) have achieved significant perform...
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04/17/2018
A Concatenated Residual Network for Image Deblurring
Deep convolutional neural network (CNN)-based restoration methods have r...
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04/12/2018