Yihuan Mao

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Efficiency & Compression — 23 citations into it

Whom Yihuan Mao trusts overall

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

1. Geoffrey E. Hinton
2. Song Han
3. Jonathan Frankle
4. Kaiming He
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Yoshua Bengio
8. Yann LeCun
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Yihuan Mao overall

1. François Lagunas
2. Wei Zhang

Papers from Yihuan Mao's perspective

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

Their papers

• CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark (2018) — 627 citations
• LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression (2020) — 81 citations