Yih-Kai Lin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Yih-Kai Lin trusts overall

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

1. Navneet Dalal
2. Geoffrey E. Hinton
3. Rainer Lienhart
4. Antoni B. Chan
5. Shengcai Liao
6. Bill Triggs
7. Oriol Vinyals
8. Jochen Maydt
9. Pedro F. Felzenszwalb
10. Kaiming He

Who trusts Yih-Kai Lin overall

1. Fartash Faghri

Papers from Yih-Kai Lin's perspective

Ordered by how strongly the researchers Yih-Kai Lin 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Histograms of oriented gradients for human detection
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• An efficient framework for counting pedestrians crossing a line using low-cost devices: the benefits of distilling the knowledge in a neural network (2020) — 33 citations