Xinbo Chen

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Xinbo Chen trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Ronan Collobert
5. Koray Kavukcuoglu
6. Christian Szegedy
7. Pierre Sermanet
8. Kaiming He
9. Yangqing Jia
10. Sepp Hochreiter

Papers from Xinbo Chen's perspective

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

Their papers

• Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs (2016) — 176 citations