Kun Fu

Computer Vision and Pattern Recognition · with Jin · 2014

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #17,637 of 21,575 by trust here, #17,757 by citations

Whom Kun Fu trusts overall

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

1. Dan Claudiu Ciresan
2. Yann LeCun
3. Alex Krizhevsky
4. Matthijs C. Dorst
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Navneet Dalal
8. Barbara Olshausen
9. Pierre Sermanet
10. Ueli Meier

Who trusts Kun Fu overall

1. Domen Tabernik
2. Zhe Zhu

Papers from Kun Fu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Histograms of oriented gradients for human detection
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks (2014) — 312 citations