Xiaoming Zhang

Computer Vision and Pattern Recognition · with He · 2017

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it

Whom Xiaoming Zhang trusts overall

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

1. Karen Simonyan
2. Yu Zheng
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Andrew Zisserman
7. Yunchao Gong
8. Kaiming He
9. Diederik P. Kingma
10. Jia Deng

Papers from Xiaoming Zhang's perspective

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

Their papers

• Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data (2017) — 78 citations
• Learning Social Image Embedding with Deep Multimodal Attention Networks (2017) — 20 citations