Jie Shao

Computer Vision and Pattern Recognition · with Mei · 2016

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 13 citations into it

Whom Jie Shao trusts overall

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

1. Karen Simonyan
2. Jun Wan

Who trusts Jie Shao overall

1. Pichao Wang

Papers from Jie Shao's perspective

Ordered by how strongly the researchers Jie Shao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Fully convolutional networks for semantic segmentation
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (2016) — 72 citations