Kun Yu

Computer Vision and Pattern Recognition · with Yang · 2018

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #16,284 of 21,575 by trust here, #7,657 by citations
• Artificial Intelligence — 10 citations into it

Whom Kun Yu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Liang-Chieh Chen
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Christian Szegedy
8. Ross B. Girshick
9. Jia Deng
10. Evan Shelhamer

Who trusts Kun Yu overall

1. Xiangtai Li
2. Jun Fu
3. Yuhui Yuan
4. Jing Zhang
5. Qibin Hou
6. Hanchao Li
7. Sihong Chen
8. Huihui Pan
9. Zilong Huang
10. Tianyi Wu

Papers from Kun Yu's perspective

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

Their papers

• DenseASPP for Semantic Segmentation in Street Scenes (2018) — 1,473 citations