Chengpeng Chen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 126 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 9 citations into it
• Model Architectures — 6 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it
• Efficiency & Compression — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Chengpeng Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Sergey Ioffe
4. Alex Krizhevsky
5. Jimmy Ba
6. He Zhang
7. Christian Szegedy
8. Dmitry Ulyanov

Papers from Chengpeng Chen's perspective

Ordered by how strongly the researchers Chengpeng Chen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• HINet: Half Instance Normalization Network for Image Restoration (2021) — 683 citations