Guoqiang Han

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #21,157 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 6 citations into it

Whom Guoqiang Han trusts overall

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

1. Kaiming He

Who trusts Guoqiang Han overall

1. Qingming Huang

Papers from Guoqiang Han's perspective

Ordered by how strongly the researchers Guoqiang Han trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Fully convolutional networks for semantic segmentation
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Densely Connected Convolutional Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• R³Net: Recurrent Residual Refinement Network for Saliency Detection (2018) — 518 citations