Guodong Wu
Media Technology · 2017
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 17 citations into it; #1,503 of 3,621 by trust here, #1,646 by citations
- Computer Vision and Pattern Recognition — 13 citations into it; #10,965 of 21,575 by trust here, #13,269 by citations
- Atmospheric Science — 9 citations into it; #1,654 of 4,804 by trust here, #2,465 by citations
Whom Guodong Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Guodong Wu overall
- Mercedes Eugenia Paoletti
- Mengmeng Zhang
- Weiwei Song
- Shutao Li
- Yushi Chen
- Xin He
- Alberto Signoroni
- Lin Zhu
- Zilong Zhong
- Juan Mario Haut
Papers from Guodong Wu's perspective
Ordered by how strongly the researchers Guodong Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach (IEEE Transactions on Geoscience and Remote Sensing)
- This PDF file includes: Materials and Methods
- Going deeper with convolutions
- Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
- Deep Learning-Based Classification of Hyperspectral Data
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Generalized Composite Kernel Framework for Hyperspectral Image Classification
Their papers
- Hyperspectral Image Classification Using Deep Pixel-Pair Features (2017) — 714 citations