Hu Zhu

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Media Technology — 18 citations into it

Whom Hu Zhu trusts overall

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

1. Yi Yang
2. Shawn D. Newsam
3. Matthijs C. Dorst
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky

Papers from Hu Zhu's perspective

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

Their papers

• Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion (2016) — 71 citations