Cheng Tian

Computer Vision and Pattern Recognition · with Cao · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Cheng Tian trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman

Papers from Cheng Tian's perspective

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

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. ImageNet: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Large Scale Distributed Deep Networks
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Epileptic Seizure Detection Based on EEG Signals and CNN (2018) — 432 citations