Xiang Wang

Computer Vision and Pattern Recognition · with Lian · 2019

A researcher in the Science corpus: 1 paper; trusts 330 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it
• Generative Models — 44 citations into it
• Artificial Intelligence — 15 citations into it
• Signal Processing — 14 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Xiang Wang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Yann LeCun
7. Ilya Sutskever
8. Ross B. Girshick
9. Karen Simonyan
10. Alec Radford

Who trusts Xiang Wang overall

1. Tong Zhao
2. Yozen Liu

Papers from Xiang Wang's perspective

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

Their papers

• A survey on face data augmentation for the training of deep neural networks (2019) — 145 citations