Peng Cao

Computer Vision and Pattern Recognition · with Aksan · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 42 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 — 32 citations into it
• Control and Systems Engineering — 11 citations into it

Whom Peng Cao trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Ilya Sutskever
6. Daniel Holden
7. Yoshua Bengio
8. Eugene Seneta
9. Yann LeCun
10. Nitish Srivastava

Who trusts Peng Cao overall

1. Geoff Pleiss

Papers from Peng Cao's perspective

Ordered by how strongly the researchers Peng Cao 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Spatio-temporal Transformer for 3D Human Motion Prediction (2020) — 296 citations
• L_DMI: An Information-theoretic Noise-robust Loss Function (2019) — 60 citations