Bing-Yu Xiao

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #8,391 of 21,575 by trust here, #15,162 by citations

Whom Bing-Yu Xiao trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Ilya Sutskever
4. Geoffrey E. Hinton

Who trusts Bing-Yu Xiao overall

1. Tal Ben-Nun
2. Andrew Lavin
3. Hyoukjun Kwon
4. Vivienne Sze
5. Yu-hsin Chen
6. Torsten Hoefler
7. Scott Gray

Papers from Bing-Yu Xiao's perspective

Ordered by how strongly the researchers Bing-Yu Xiao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Best practices for convolutional neural networks applied to visual document analysis
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet: A large-scale hierarchical image database
6. Synergistic Face Detection and Pose Estimation with Energy-Based Models
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Minimizing Computation in Convolutional Neural Networks (2014) — 377 citations