Jianguo Zhang

Computer Vision and Pattern Recognition · with Ji · 2020

A researcher in the Science corpus: 1 paper; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 28 citations into it
• Model Architectures — 12 citations into it

Whom Jianguo Zhang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Andrew Zisserman
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Yann LeCun
8. Yoshua Bengio
9. Ilya Sutskever
10. Diederik P. Kingma

Papers from Jianguo Zhang's perspective

Ordered by how strongly the researchers Jianguo Zhang 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. Long Short-Term Memory
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• TEA: Temporal Excitation and Aggregation for Action Recognition (2020) — 566 citations