Shigang Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Sensory Systems — 12 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Shigang Wang trusts overall

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

1. Jianming Zhang
2. Radhakrishna Achanta
3. Xiaodi Hou
4. Ming-Ming Cheng
5. Laurent Itti
6. Kaiming He
7. Qiong Yan
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Huchuan Lu

Papers from Shigang Wang's perspective

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

Their papers

• New Contour Cue-Based Hybrid Sparse Learning for Salient Object Detection (2019) — 15 citations