H. H. Yu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 289 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 10 citations into it
• Model Architectures — 5 citations into it

Whom H. H. Yu trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. Christian Szegedy
8. Andrew Zisserman
9. Tsung-Yi Lin
10. Piotr Doll'ar

Papers from H. H. Yu's perspective

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

Their papers

• Context-Aware Single-Shot Detector (2017) — 49 citations