Pengcheng Shi

Computer Vision and Pattern Recognition · 2004–2021

A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 12 citations into it

Whom Pengcheng Shi trusts overall

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

1. Shaofan Li
2. Luis Gavete
3. Kaiming He
4. Geoffrey E. Hinton
5. Wing Kam Liu
6. Ross B. Girshick
7. Alex Krizhevsky

Who trusts Pengcheng Shi overall

1. Tinh Quoc Bui
2. Yaling Liu
3. Dong-dong Wang
4. Wing Kam Liu

Papers from Pengcheng Shi's perspective

Ordered by how strongly the researchers Pengcheng Shi 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. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis (2009) — 15 citations
• A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation (2021) — 27 citations
• Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts (2013) — 37 citations
• Meshfree Particle Methods (2004) — 371 citations