Yipeng Gao

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 74 citations into it
• Artificial Intelligence — 47 citations into it
• Model Architectures — 40 citations into it

Whom Yipeng Gao trusts overall

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

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

Papers from Yipeng Gao's perspective

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

Their papers

• DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition (2023) — 326 citations