Tiancheng Shen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 22 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 5 citations into it

Whom Tiancheng Shen trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. J. Urgen Schmidhuber
6. Yann LeCun
7. Ilya Sutskever
8. Christian Szegedy
9. Matthew D. Zeiler
10. Ross B. Girshick

Papers from Tiancheng Shen's perspective

Ordered by how strongly the researchers Tiancheng Shen 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. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Convolutional Neural Networks with Alternately Updated Clique (2018) — 130 citations