Yongtao Yao
Computer Vision and Pattern Recognition · with Hong · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 64 citations into it
- Automotive Engineering — 42 citations into it
- Artificial Intelligence — 33 citations into it
- Aerospace Engineering — 27 citations into it
- Signal Processing — 7 citations into it
- Environmental Engineering — 5 citations into it
Whom Yongtao Yao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yongtao Yao's perspective
Ordered by how strongly the researchers Yongtao Yao 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)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Histograms of oriented gradients for human detection
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions