Hang Gao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 174 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Model Architectures — 14 citations into it
• Artificial Intelligence — 13 citations into it

Whom Hang Gao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Tsung-Yi Lin
7. Piotr Doll'ar
8. David G. Lowe
9. Jia Deng
10. Yann LeCun

Who trusts Hang Gao overall

1. Jin Chen
2. Yizeng Han
3. Xijun Wang

Papers from Hang Gao's perspective

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

Their papers

• Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation (2019) — 73 citations