Shibao Zheng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 27 citations into it
• Signal Processing — 18 citations into it

Whom Shibao Zheng trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Kaiming He
5. Diederik P. Kingma
6. Chelsea Finn
7. Yann LeCun
8. Oriol Vinyals
9. Ilya Sutskever
10. Sergey Ioffe

Papers from Shibao Zheng's perspective

Ordered by how strongly the researchers Shibao Zheng 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning to Self-Train for Semi-Supervised Few-Shot Classification (2019) — 301 citations
• Face Anti-Spoofing: Model Matters, so Does Data (2019) — 228 citations