Junyi Cao

Computer Vision and Pattern Recognition · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 11 citations into it

Whom Junyi Cao trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. François Chollet
4. Kaiming He
5. Andrew Zisserman
6. Ross B. Girshick
7. L. V. D. van der Maaten
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Junyi Cao overall

1. Zhiyuan Yan
2. Chuangchuang Tan

Papers from Junyi Cao's perspective

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

Their papers

• End-to-End Reconstruction-Classification Learning for Face Forgery Detection (2022) — 420 citations