Junjun Jiang

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Harbin Institute of Technology ∙ NetEase, Inc

Asymmetric Loss Functions for Learning with Noisy Labels

Robust loss functions are essential for training deep neural networks wi...
06/06/2021 ∙ by Xiong Zhou, et al. ∙ 0 ∙ share

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BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring

The defocus deblurring raised from the finite aperture size and exposure...
05/31/2021 ∙ by Pengwei Liang, et al. ∙ 3 ∙ share

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High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion

Depth map records distance between the viewpoint and objects in the scen...
04/04/2021 ∙ by Zhiwei Zhong, et al. ∙ 0 ∙ share

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Omniscient Video Super-Resolution

Most recent video super-resolution (SR) methods either adopt an iterativ...
03/29/2021 ∙ by Peng Yi, et al. ∙ 0 ∙ share

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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. ∙ 72 ∙ 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

Yi Yu

Chen Chen

Xin Gao

Xiangyang Ji

Xianming Liu

Kiyoharu Aizawa

Bo Pang

Akiko Aizawa

Debin Zhao

Jiayi Ma

Asymmetric Loss Functions for Learning with Noisy Labels

BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring

High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion

Omniscient Video Super-Resolution

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