Xiao-nan Xiao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #18,922 of 21,575 by trust here, #15,529 by citations

Whom Xiao-nan Xiao trusts overall

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

1. Kaiming He
2. Olaf Ronneberger
3. Joes Staal
4. Huan Fu
5. X. Zhang
6. Shaoqing Ren
7. Philipp Fischer
8. Michael David Abràmoff
9. Yanwu Xu

Who trusts Xiao-nan Xiao overall

1. Kaiwen Zhang
2. Jeya Maria Jose Valanarasu
3. Tomer Amit
4. Xiangbin Liu
5. Ailiang Lin
6. Hu Cao
7. Jiang Hai
8. Dong Liu
9. Eliya Nachmani
10. Poojan Oza

Papers from Xiao-nan Xiao's perspective

Ordered by how strongly the researchers Xiao-nan Xiao 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. Learning Multiple Layers of Features from Tiny Images
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• Weighted Res-UNet for High-Quality Retina Vessel Segmentation (2018) — 978 citations