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20182022
most citedSuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

332 citations · 994 across the 17 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 1 cited

Fully Unsupervised Person Re-identification viaSelective Contrastive Learning

Bo Pang, Deming Zhai, Junjun Jiang +1

Person re-identification (ReID) aims at searching the same identity person among images captured by various cameras. Unsupervised person ReID attracts a lot of attention recently,…

cs.CV2020

Single Image Deraining via Scale-space Invariant Attention Neural Network

Bo Pang, Deming Zhai, Junjun Jiang +1

Image enhancement from degradation of rainy artifacts plays a critical role in outdoor visual computing systems. In this paper, we tackle the notion of scale that deals with visual…

eess.IV2020★ 298 cited

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

Junjun Jiang, He Sun, Xianming Liu +1

Recently, single gray/RGB image super-resolution reconstruction task has been extensively studied and made significant progress by leveraging the advanced machine learning techniqu…

cs.CV2020★ 53 cited

Multi-Scale Progressive Fusion Network for Single Image Deraining

Kui Jiang, Zhongyuan Wang, Peng Yi +5

Rain streaks in the air appear in various blurring degrees and resolutions due to different distances from their positions to the camera. Similar rain patterns are visible in a rai…

cs.CV2020★ 5 cited

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

Ruifeng Shi, Deming Zhai, Xianming Liu +2

Plant diseases serve as one of main threats to food security and crop production. It is thus valuable to exploit recent advances of artificial intelligence to assist plant disease…

eess.IV2020

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

Yongsen Zhao, Deming Zhai, Junjun Jiang +1

Hyperspectral image (HSI) denoising is of crucial importance for many subsequent applications, such as HSI classification and interpretation. In this paper, we propose an attention…