Huaxin Xiao

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 225 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #11,936 of 21,575 by trust here, #4,317 by citations
• Artificial Intelligence — 26 citations into it; #32,776 of 35,345 by trust here, #12,974 by citations
• Model Architectures — 15 citations into it

Whom Huaxin Xiao trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Ross B. Girshick
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Jia Deng
8. Yann LeCun
9. Christian Szegedy
10. Yoshua Bengio

Who trusts Huaxin Xiao overall

1. Yunchao Wei
2. Xiaolin Zhang
3. Yunpeng Chen
4. Shiyin Zhang
5. Nikita Araslanov
6. Fahad Lateef
7. Qi Yao
8. Ademola Enitan Ilesanmi
9. Beomyoung Kim
10. Peng-Tao Jiang

Papers from Huaxin Xiao's perspective

Ordered by how strongly the researchers Huaxin 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Dual Path Networks (2017) — 903 citations
• Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation (2018) — 583 citations