Jianzhong Cao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Jianzhong Cao trusts

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

1. Nikos Komodakis (in Computer Vision and Pattern Recognition)
2. Rob Fergus (in Computer Vision and Pattern Recognition)
3. Li Fei-Fei (in Computer Vision and Pattern Recognition)
4. Pietro Perona (in Computer Vision and Pattern Recognition)
5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
7. Kaiming He (in Computer Vision and Pattern Recognition)
8. Sergey Zagoruyko (in Computer Vision and Pattern Recognition)
9. Andrew Zisserman (in Computer Vision and Pattern Recognition)
10. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Jianzhong Cao's perspective

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

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

Their papers

• Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning (2019) — 149 citations