Gang Wan

Computer Vision and Pattern Recognition · with Cheng · 2019

A researcher in the Science corpus: 1 paper; trusts 336 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 82 citations into it
• Artificial Intelligence — 31 citations into it
• Media Technology — 17 citations into it
• Model Architectures — 10 citations into it

Whom Gang Wan trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Christian Szegedy
7. Yann LeCun
8. Andrew Zisserman
9. Gong Cheng
10. Ilya Sutskever

Who trusts Gang Wan overall

1. Gong Cheng
2. Wentong Li
3. Xian Sun
4. Ajantha Vijayakumar
5. Xue Yang
6. Tal Reiss

Papers from Gang Wan's perspective

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

Their papers

• Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark (2019) — 2,173 citations