Junjun Jiang

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Harbin Institute of Technology ∙ NetEase, Inc

Deep Learning-based Face Super-resolution: A Survey

Face super-resolution, also known as face hallucination, which is aimed ...
01/11/2021 ∙ by Junjun Jiang, et al. ∙ 71 ∙ share

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Unsupervised Constrative Person Re-identification

Person re-identification (ReID) aims at searching the same identity pers...
10/15/2020 ∙ by Bo Pang, et al. ∙ 3 ∙ share

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Single Image Deraining via Scale-space Invariant Attention Neural Network

Image enhancement from degradation of rainy artifacts plays a critical r...
06/09/2020 ∙ by Bo Pang, et al. ∙ 0 ∙ share

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Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

Recently, single gray/RGB image super-resolution reconstruction task has...
05/18/2020 ∙ by Junjun Jiang, et al. ∙ 4 ∙ share

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Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis

Plant diseases serve as one of main threats to food security and crop pr...
03/17/2020 ∙ by Ruifeng Shi, et al. ∙ 10 ∙ share

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ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising

Hyperspectral image (HSI) denoising is of crucial importance for many su...
03/04/2020 ∙ by Yongsen Zhao, et al. ∙ 0 ∙ share

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Ensemble Super-Resolution with A Reference Dataset

By developing sophisticated image priors or designing deep(er) architect...
05/12/2019 ∙ by Junjun Jiang, et al. ∙ 0 ∙ share

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Hyperspectral Image Classification in the Presence of Noisy Labels

Label information plays an important role in supervised hyperspectral im...
09/12/2018 ∙ by Junjun Jiang, et al. ∙ 8 ∙ share

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Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning

Face hallucination is a technique that reconstruct high-resolution (HR) ...
09/03/2018 ∙ by Junjun Jiang, et al. ∙ 0 ∙ share

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Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination

Most of the current face hallucination methods, whether they are shallow...
06/28/2018 ∙ by Junjun Jiang, et al. ∙ 4 ∙ share

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SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

As an unsupervised dimensionality reduction method, principal component ...
06/26/2018 ∙ by Junjun Jiang, et al. ∙ 0 ∙ share

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Junjun Jiang

Featured Co-authors

Zheng Wang

Chen Chen

Yi Yu

Kiyoharu Aizawa

Bo Pang

Xianming Liu

Akiko Aizawa

Jiayi Ma

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Suhua Tang

Deep Learning-based Face Super-resolution: A Survey

Unsupervised Constrative Person Re-identification

Single Image Deraining via Scale-space Invariant Attention Neural Network

Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis

ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising

Ensemble Super-Resolution with A Reference Dataset

Hyperspectral Image Classification in the Presence of Noisy Labels

Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning

Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery