Gang Yang

Computer Vision and Pattern Recognition · with Wang · 2018

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #18,672 of 21,575 by trust here, #12,419 by citations

Whom Gang Yang trusts overall

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

1. Huchuan Lu
2. Guanbin Li

Who trusts Gang Yang overall

1. Qingming Huang
2. Zhe Wu

Papers from Gang Yang's perspective

Ordered by how strongly the researchers Gang Yang 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. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Detect Globally, Refine Locally: A Novel Approach to Saliency Detection (2018) — 391 citations