Ming Cao

Computer Vision and Pattern Recognition · with Wang · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 84 citations into it
• Generative Models — 35 citations into it
• Media Technology — 28 citations into it

Whom Ming Cao trusts overall

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

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

Who trusts Ming Cao overall

1. Inbar Huberman-Spiegelglas
2. Yujun Shi
3. Xi-Wei Hu
4. Vladimir Kulikov

Papers from Ming Cao's perspective

Ordered by how strongly the researchers Ming 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. GENERATIVE ADVERSARIAL NETS
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment (2022) — 759 citations
• MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing (2023) — 846 citations