Xiaoliang Xu
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it
- Signal Processing — 13 citations into it
- Information Retrieval & Search — 11 citations into it
- Artificial Intelligence — 9 citations into it
- Algorithms & Complexity — 6 citations into it
Whom Xiaoliang Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Franz Aurenhammer
- Joseph B. Kruskal
- Steven J. Fortune
- Karen Simonyan
- Chanop Silpa-Anan
- Ben Harwood
- Olivier Beaumont
- Jeffrey Pennington
- Yury Malkov
- Kaiming He
Papers from Xiaoliang Xu's perspective
Ordered by how strongly the researchers Xiaoliang Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images