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20142026
most citedSuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

332 citations · 1.5k across the 59 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018

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

Junjun Jiang, Yi Yu, Suhua Tang +3

Face hallucination is a technique that reconstruct high-resolution (HR) faces from low-resolution (LR) faces, by using the prior knowledge learned from HR/LR face pairs. Most state…

cs.CV2018★ 204 cited

Hyperspectral Image Classification in the Presence of Noisy Labels

Junjun Jiang, Jiayi Ma, Zheng Wang +2

Label information plays an important role in supervised hyperspectral image classification problem. However, current classification methods all ignore an important and inevitable p…

cs.CV2018★ 2 cited

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

Junjun Jiang, Yi Yu, Jinhui Hu +2

Most of the current face hallucination methods, whether they are shallow learning-based or deep learning-based, all try to learn a relationship model between Low-Resolution (LR) an…

cs.CV2018★ 332 cited

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

Junjun Jiang, Jiayi Ma, Chen Chen +3

As an unsupervised dimensionality reduction method, principal component analysis (PCA) has been widely considered as an efficient and effective preprocessing step for hyperspectral…

cs.CV2018

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

Yuan Gao, Jiayi Ma, Mingbo Zhao +2

In this paper, we propose a novel Convolutional Neural Network (CNN) structure for general-purpose multi-task learning (MTL), which enables automatic feature fusing at every layer…