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07/11/2023
ResMatch: Residual Attention Learning for Local Feature Matching
Attention-based graph neural networks have made great progress in featur...
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07/04/2023
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network
Accurately matching local features between a pair of images is a challen...
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03/24/2023
Image Deblurring by Exploring In-depth Properties of Transformer
Image deblurring continues to achieve impressive performance with the de...
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01/19/2023
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models
Color plays an important role in human visual perception, reflecting the...
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05/16/2022
ReDFeat: Recoupling Detection and Description for Multimodal Feature Learning
Deep-learning-based local feature extraction algorithms that combine det...
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03/14/2022
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation
As far as Scene Graph Generation (SGG), coarse and fine predicates mix i...
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11/27/2021
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution
To solve the ill-posed problem of hyperspectral image super-resolution (...
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09/16/2021
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network
Recently, face super-resolution (FSR) methods either feed whole face ima...
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08/31/2021
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution
High-resolution (HR) hyperspectral face image plays an important role in...
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07/27/2021
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
Recently, the problem of inaccurate learning targets in crowd counting d...
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06/08/2021
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning
Modifications on triplet loss that rescale the back-propagated gradients...
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05/31/2021
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring
The defocus deblurring raised from the finite aperture size and exposure...
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05/24/2021
Pan-sharpening via High-pass Modification Convolutional Neural Network
Most existing deep learning-based pan-sharpening methods have several wi...
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03/29/2021
Omniscient Video Super-Resolution
Most recent video super-resolution (SR) methods either adopt an iterativ...
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01/11/2021
Deep Learning-based Face Super-resolution: A Survey
Face super-resolution, also known as face hallucination, which is aimed ...
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11/06/2020
Robust ENF Estimation Based on Harmonic Enhancement and Maximum Weight Clique
We present a framework for robust electric network frequency (ENF) extra...
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05/18/2020
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Recently, single gray/RGB image super-resolution reconstruction task has...
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03/31/2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
We propose to incorporate neural architecture search (NAS) into general-...
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11/26/2019
LaFIn: Generative Landmark Guided Face Inpainting
It is challenging to inpaint face images in the wild, due to the large v...
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11/24/2019
EDIT: Exemplar-Domain Aware Image-to-Image Translation
Image-to-image translation is to convert an image of the certain style t...
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05/12/2019
Ensemble Super-Resolution with A Reference Dataset
By developing sophisticated image priors or designing deep(er) architect...
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02/28/2019
PFLD: A Practical Facial Landmark Detector
Being accurate, efficient, and compact is essential to a facial landmark...
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09/12/2018
Hyperspectral Image Classification in the Presence of Noisy Labels
Label information plays an important role in supervised hyperspectral im...
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09/03/2018
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning
Face hallucination is a technique that reconstruct high-resolution (HR) ...
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06/28/2018
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
Most of the current face hallucination methods, whether they are shallow...
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06/26/2018
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery
As an unsupervised dimensionality reduction method, principal component ...
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01/25/2018
NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction
State-of-the-art Convolutional Neural Network (CNN) benefits a lot from ...
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09/12/2016
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
This paper addresses the problem of face recognition when there is only ...
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10/23/2014