Guorong Li

Computer Vision and Pattern Recognition · with Zhang · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 349 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 93 citations into it
• Artificial Intelligence — 16 citations into it
• Global and Planetary Change — 9 citations into it

Whom Guorong Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Martin Danelljan
6. Shaoqing Ren
7. Diederik P. Kingma
8. Yann LeCun
9. Yoshua Bengio
10. Karen Simonyan

Papers from Guorong Li's perspective

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

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

Their papers

• The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking (2018) — 990 citations
• Siamese Box Adaptive Network for Visual Tracking (2020) — 856 citations