Kunfeng Wang

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 29 citations into it
• Generative Models — 25 citations into it
• Automotive Engineering — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Kunfeng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. J. Urgen Schmidhuber
5. Alex Krizhevsky
6. Ilya Sutskever
7. Yann LeCun
8. Kaiming He
9. Alex Graves
10. Radford M. Neal

Papers from Kunfeng Wang's perspective

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

Their papers

• Data-Driven Intelligent Transportation Systems: A Survey (2011) — 1,648 citations
• Generative adversarial networks: introduction and outlook (2017) — 652 citations