Qian Bao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 13 citations into it

Whom Qian Bao trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Tsung-Yi Lin
4. Ross B. Girshick
5. Mykhaylo Andriluka
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Sam Johnson
9. Jia Deng
10. Jimmy Ba

Papers from Qian Bao's perspective

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

Their papers

• Monocular, One-stage, Regression of Multiple 3D People (2020) — 346 citations