Chao Gao

Computer Vision and Pattern Recognition · with Dehghan · 2019

A researcher in the Science corpus: 1 paper; trusts 186 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #14,090 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 11 citations into it
• Cognitive Neuroscience — 11 citations into it; #6,054 of 10,852 by trust here, #4,716 by citations
• Model Architectures — 6 citations into it

Whom Chao Gao trusts overall

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

1. Kaiming He
2. Guanbin Li
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ross B. Girshick
8. Karen Simonyan
9. Yann LeCun
10. X. Zhang

Who trusts Chao Gao overall

1. Xiaoqi Zhao
2. Deng-Ping Fan

Papers from Chao Gao's perspective

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

Their papers

• BASNet: Boundary-Aware Salient Object Detection (2019) — 1,441 citations