Peijun Hu

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #12,679 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 8 citations into it; #20,372 of 35,345 by trust here, #30,347 by citations
• Model Architectures — 6 citations into it

Whom Peijun Hu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Matthew D. Zeiler
4. Kaiming He
5. Yann LeCun
6. Rob Fergus
7. Vinod Nair
8. Yoshua Bengio
9. Ilya Sutskever
10. Ruslan Salakhutdinov

Who trusts Peijun Hu overall

1. Diego Marcos
2. Sander Dieleman
3. Junying Li
4. Xiuyuan Cheng

Papers from Peijun Hu's perspective

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

Their papers

• Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification (2015) — 30 citations