Zengmin Tian

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 6 citations into it

Whom Zengmin Tian trusts overall

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

1. David G. Lowe
2. Andrea Vedaldi
3. Radford M. Neal
4. Josef Sivic
5. Yann LeCun
6. Andrew Zisserman
7. Florent Perronnin
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Yoshua Bengio

Papers from Zengmin Tian's perspective

Ordered by how strongly the researchers Zengmin Tian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Distinctive Image Features from Scale-Invariant Keypoints
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Classification of CT brain images based on deep learning networks (2017) — 323 citations