Yu Zheng

Computer Vision and Pattern Recognition · with Cornacchia · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Biomedical Engineering — 16 citations into it
• Artificial Intelligence — 9 citations into it

Whom Yu Zheng trusts overall

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

1. Jani Mäntyjärvi
2. Hamed Pirsiavash
3. Michael S. Ryoo
4. Zhenyu He

Papers from Yu Zheng's perspective

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

Their papers

• A Survey on Activity Detection and Classification Using Wearable Sensors (2017) — 378 citations