Ping Tang

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 424 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it; #5,248 of 21,575 by trust here, #8,502 by citations
• Media Technology — 53 citations into it; #530 of 3,621 by trust here, #789 by citations
• Artificial Intelligence — 22 citations into it
• Remote Sensing — 18 citations into it; #33 of 95 by trust here, #70 by citations
• Information Retrieval & Search — 6 citations into it
• Aerospace Engineering — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Model Architectures — 5 citations into it

Whom Ping Tang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David G. Lowe
2. Thorsten Joachims
3. Chih-Jen Lin
4. Yi Yang
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Svetlana Lazebnik
8. Karen Simonyan
9. Cordelia Schmid
10. Andrew Zisserman

Who trusts Ping Tang overall

1. Gui-Song Xia
2. Lijun Zhao
3. Nassim Ammour
4. Bei Zhao
5. Jingwen Hu
6. Gong Cheng
7. Fan Hu
8. Liangpei Zhang
9. Yanfei Zhong
10. Baochang Zhang

Papers from Ping Tang's perspective

Ordered by how strongly the researchers Ping Tang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Remote Sensing Image Scene Classification Using CNN-CapsNet (2019) — 362 citations
• Feature significance-based multibag-of-visual-words model for remote sensing image scene classification (2016) — 126 citations
• A 2-D wavelet decomposition-based bag-of-visual-words model for land-use scene classification (2014) — 71 citations
• Land-Use Scene Classification Using a Concentric Circle-Structured Multiscale Bag-of-Visual-Words Model (2014) — 163 citations