Jie Shao
Computer Vision and Pattern Recognition · with Liu · 2015
A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 42 citations into it
- Artificial Intelligence — 19 citations into it
Whom Jie Shao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
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.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- This PDF file includes: Materials and Methods
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Learning in high-dimensional multimedia data: the state of the art (2015) — 129 citations