Kui Yuan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 147 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #14,462 of 21,575 by trust here, #17,258 by citations
• Aerospace Engineering — 24 citations into it; #5,770 of 6,421 by trust here, #6,362 by citations
• Sensory Systems — 5 citations into it

Whom Kui Yuan trusts overall

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

1. Radhakrishna Achanta
2. Jianming Zhang
3. Pingping Zhang
4. Ming-Ming Cheng
5. Laurent Itti
6. Kaiming He
7. Yun Zhai
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Ross B. Girshick

Who trusts Kui Yuan overall

1. Marco Rudolph

Papers from Kui Yuan's perspective

Ordered by how strongly the researchers Kui Yuan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Fully convolutional networks for semantic segmentation
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Surface defect saliency of magnetic tile (2018) — 533 citations
• PL-VIO: Tightly-Coupled Monocular Visual–Inertial Odometry Using Point and Line Features (2018) — 304 citations