Zhao-Peng Meng

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 19 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Zhao-Peng Meng trusts overall

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

1. Olaf Ronneberger
2. Diederik P. Kingma
3. Sergey Ioffe
4. William T. Freeman
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Michael Collins
8. Jimmy Ba
9. Kaiming He
10. Paweł Liskowski

Who trusts Zhao-Peng Meng overall

1. Reza Azad

Papers from Zhao-Peng Meng's perspective

Ordered by how strongly the researchers Zhao-Peng Meng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans (2018) — 439 citations
• DUNet: A deformable network for retinal vessel segmentation (2018) — 819 citations