Hongpeng Yin

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #17,918 of 21,575 by trust here, #17,258 by citations
• Media Technology — 16 citations into it; #2,874 of 3,621 by trust here, #2,598 by citations
• Artificial Intelligence — 9 citations into it
• Aerospace Engineering — 5 citations into it

Whom Hongpeng Yin trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Li Fei-Fei
4. Yann LeCun
5. Chih-Jen Lin
6. Yoshua Bengio
7. Matthew D. Zeiler
8. Ilya Sutskever
9. Aude Oliva
10. Andrew Zisserman

Who trusts Hongpeng Yin overall

1. Wei Tang
2. Fazhi He
3. Ming Yin

Papers from Hongpeng Yin's perspective

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

Their papers

• A novel multi-modality image fusion method based on image decomposition and sparse representation (2017) — 366 citations
• Scene classification based on single-layer SAE and SVM (2015) — 72 citations