Fei-Peng Tian

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Aerospace Engineering — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Fei-Peng Tian trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Anat Levin
4. Fangchang Ma
5. Sergey Ioffe
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Christian Szegedy
9. Ross B. Girshick
10. Yann LeCun

Papers from Fei-Peng Tian's perspective

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

Their papers

• Learning Guided Convolutional Network for Depth Completion (2019) — 298 citations