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05/26/2023
Automation of Trimming Die Design Inspection by Zigzag Process Between AI and CAD Domains
Quality control in the manufacturing industry has improved with the use ...
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01/31/2023
NoiseTransfer: Image Noise Generation with Contrastive Embeddings
Deep image denoising networks have achieved impressive success with the ...
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06/08/2022
Learning Task Agnostic Temporal Consistency Correction
Due to the scarcity of video processing methodologies, image processing ...
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03/15/2022
Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution
Recent vision transformers along with self-attention have achieved promi...
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04/29/2021
Dynamic Gene Coexpression Analysis with Correlation Modeling
In many transcriptomic studies, the correlation of genes might fluctuate...
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03/30/2021
Product Inspection Methodology via Deep Learning: An Overview
In this work, we present a framework for product quality inspection base...
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03/18/2021
Self-Supervised Adaptation for Video Super-Resolution
Recent single-image super-resolution (SISR) networks, which can adapt th...
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02/16/2021
Restore from Restored: Single-image Inpainting
Recent image inpainting methods show promising results due to the power ...
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11/19/2020
Learning Deep Video Stabilization without Optical Flow
Learning the necessary high-level reasoning for video stabilization with...
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04/02/2020
Scene-Adaptive Video Frame Interpolation via Meta-Learning
Video frame interpolation is a challenging problem because there are dif...
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03/09/2020
Restore from Restored: Video Restoration with Pseudo Clean Video
In this paper, we propose a self-supervised video denoising method calle...
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03/09/2020
Restore from Restored: Single Image Denoising with Pseudo Clean Image
Under certain statistical assumptions of noise (e.g., zero-mean noise), ...
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01/09/2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Conventional supervised super-resolution (SR) approaches are trained wit...
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01/09/2020
Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Under certain statistical assumptions of noise, recent self-supervised a...
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03/31/2019
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network
Restoring a sharp light field image from its blurry input has become ess...
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04/11/2017
Online Video Deblurring via Dynamic Temporal Blending Network
State-of-the-art video deblurring methods are capable of removing non-un...
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12/07/2016
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Non-uniform blind deblurring for general dynamic scenes is a challenging...
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11/29/2016
Occlusion-Aware Video Deblurring with a New Layered Blur Model
We present a deblurring method for scenes with occluding objects using a...
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03/14/2016
Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model
State-of-the-art video deblurring methods cannot handle blurry videos re...
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07/09/2015