Xiang Li

Computer Vision and Pattern Recognition · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it

Whom Xiang Li trusts

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

1. Yoshua Bengio (in Computer Vision and Pattern Recognition)
2. Rob Fergus (in Computer Vision and Pattern Recognition)
3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
4. Hugo Larochelle (in Computer Vision and Pattern Recognition)
5. Kaiming He (in Computer Vision and Pattern Recognition)
6. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
8. Liang-Chieh Chen (in Computer Vision and Pattern Recognition)
9. George Papandreou (in Computer Vision and Pattern Recognition)
10. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Xiang Li's perspective

Ordered by how strongly the researchers Xiang Li 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. Long Short-Term Memory
4. ImageNet Large Scale Visual Recognition Challenge
5. Going deeper with convolutions
6. This PDF file includes: Materials and Methods
7. A Fast Learning Algorithm for Deep Belief Nets
8. Fully convolutional networks for semantic segmentation
9. Visualizing and Understanding Convolutional Networks
10. Greedy Layer-Wise Training of Deep Networks

Their papers

• A review of deep learning used in the hyperspectral image analysis for agriculture (2021) — 300 citations