Siyuan Wu
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 11 citations into it
- Media Technology — 10 citations into it
- Natural Language Processing — 5 citations into it
Whom Siyuan Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Siyuan Wu's perspective
Ordered by how strongly the researchers Siyuan Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Speech recognition with deep recurrent neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Spectral-Spatial Attention Networks for Hyperspectral Image Classification (2019) — 570 citations