Haipeng Zhang

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 190 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #13,147 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 7 citations into it

Whom Haipeng Zhang trusts overall

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

1. Alex Krizhevsky
2. James Hays
3. Geoffrey E. Hinton
4. Navneet Dalal
5. Ross B. Girshick
6. Aude Oliva
7. Antonio Torralba
8. Ilya Sutskever
9. Pedro F. Felzenszwalb
10. Yann LeCun

Who trusts Haipeng Zhang overall

1. Nam N. Vo
2. Tobias Weyand

Papers from Haipeng Zhang's perspective

Ordered by how strongly the researchers Haipeng Zhang 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. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks (2015) — 42 citations