Yahui Liu

Computer Vision and Pattern Recognition · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 15 citations into it

Whom Yahui Liu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Yann LeCun
8. Yoshua Bengio
9. Karen Simonyan
10. Christian Szegedy

Papers from Yahui Liu's perspective

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

Their papers

• YOLO-FaceV2: A Scale and Occlusion Aware Face Detector (2022) — 483 citations