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08/22/2023
High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation
High dynamic range (HDR) imaging is a highly challenging task since a la...
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08/22/2023
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
As demands for high-quality videos continue to rise, high-resolution and...
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04/19/2023
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
There have been many image denoisers using deep neural networks, which o...
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03/21/2023
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network
Recent deep-learning-based video compression methods brought coding gain...
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11/24/2022
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
Single-image super-resolution (SISR) networks trained with perceptual an...
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07/03/2022
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks
There have been numerous image restoration methods based on deep convolu...
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07/03/2022
Variational Deep Image Restoration
This paper presents a new variational inference framework for image rest...
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05/26/2022
One-Shot Face Reenactment on Megapixels
The goal of face reenactment is to transfer a target expression and head...
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01/13/2022
Flexible Style Image Super-Resolution using Conditional Objective
Recent studies have significantly enhanced the performance of single-ima...
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12/16/2021
Self-Distilled Hashing for Deep Image Retrieval
In hash-based image retrieval systems, the transformed input from the or...
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12/16/2021
DProST: 6-DoF Object Pose Estimation Using Space Carving and Dynamic Projective Spatial Transformer
Predicting the pose of an object is a core computer vision task. Most de...
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12/13/2021
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network
Recent learning-based lossless image compression methods encode an image...
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09/06/2021
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
Supervised deep learning-based hash and vector quantization are enabling...
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07/11/2021
Similarity Guided Deep Face Image Retrieval
Face image retrieval, which searches for images of the same identity fro...
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04/19/2021
Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS
The recent progress of deep convolutional neural networks has enabled gr...
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04/02/2021
Variational Deep Image Denoising
Convolutional neural networks (CNNs) have shown outstanding performance ...
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01/18/2021
Deep Universal Blind Image Denoising
Image denoising is an essential part of many image processing and comput...
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02/27/2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Convolutional neural networks (CNNs) have shown dramatic improvements in...
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02/26/2020
Generalized Product Quantization Network for Semi-supervised Hashing
Learning to hash has achieved great success in image retrieval due to it...
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02/26/2020
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Real-noise denoising is a challenging task because the statistics of rea...
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12/03/2019
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation
This paper presents a method for automatic video object segmentation bas...
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11/09/2019
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
Recently, many convolutional neural networks for single image super-reso...
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07/08/2019
Data Distillation, Face-Related Tasks, Multi Task Learning, Semi-Supervised Learning
We propose a new semi-supervised learning method on face-related tasks b...
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07/08/2019
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning
We propose a new semi-supervised learning method on face-related tasks b...
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06/12/2019
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network
We present a new handwritten text segmentation method by training a conv...
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05/02/2019
Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
This paper presents a new framework for jointly enhancing the resolution...
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03/02/2019
PuVAE: A Variational Autoencoder to Purify Adversarial Examples
Deep neural networks are widely used and exhibit excellent performance i...
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01/24/2018
Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks
Since the convolutional neural network (CNN) is be- lieved to find right...
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08/02/2017
Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Images
This paper presents an algorithm that enhances undesirably illuminated i...
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06/29/2017
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph
This paper presents a co-salient object detection method to find common ...
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05/12/2017
Self-Committee Approach for Image Restoration Problems using Convolutional Neural Network
There have been many discriminative learning methods using convolutional...
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04/03/2017
Block-Matching Convolutional Neural Network for Image Denoising
There are two main streams in up-to-date image denoising algorithms: non...
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01/22/2017
