Yunhao Liu

Computer Vision and Pattern Recognition · with Yao · 2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 35 citations into it
• Signal Processing — 17 citations into it
• Cognitive Neuroscience — 13 citations into it

Whom Yunhao Liu trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Bernt Schiele (in Computer Vision and Pattern Recognition)
3. Jimmy Ba (in Artificial Intelligence)
4. Abdulhamit Subasi (in Cognitive Neuroscience)
5. Thomas Plötz (in Computer Vision and Pattern Recognition)

Papers from Yunhao Liu's perspective

Ordered by how strongly the researchers Yunhao Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. How transferable are features in deep neural networks?
6. Long Short-Term Memory
7. Generative Adversarial Networks
8. A Survey on Transfer Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition (2020) — 326 citations
• Deep Learning for Sensor-based Human Activity Recognition (2020) — 862 citations