Pengfei Wang

Computer Vision and Pattern Recognition · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Artificial Intelligence — 13 citations into it
• Biomedical Engineering — 13 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Pengfei Wang trusts overall

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

1. Geoffrey E. Hinton
2. Liang Zheng
3. Sergey Ioffe
4. Kaiming He
5. Alex Krizhevsky
6. Ross B. Girshick
7. Christian Szegedy
8. Ilya Sutskever
9. Pedro F. Felzenszwalb
10. Zhun Zhong

Papers from Pengfei Wang's perspective

Ordered by how strongly the researchers Pengfei Wang 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Batch Coherence-Driven Network for Part-Aware Person Re-Identification (2020) — 25 citations