Xin Tong

Computer Vision and Pattern Recognition · with Guo · 2017

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Computational Mechanics — 19 citations into it
• Model Architectures — 7 citations into it
• 3D Vision & Pose — 6 citations into it

Whom Xin Tong trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Matthew D. Zeiler
7. Ilya Sutskever
8. Davide Boscaini

Papers from Xin Tong's perspective

Ordered by how strongly the researchers Xin Tong 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Dropout: a simple way to prevent neural networks from overfitting
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• O-CNN (2017) — 194 citations