Stephen L. H. Lau
Computer Vision and Pattern Recognition · 2020
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 — 14 citations into it
- Artificial Intelligence — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Stephen L. H. Lau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leslie N. Smith
- Joseph Redmon
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ali Farhadi
- Ross B. Girshick
- Ilya Loshchilov
- Evan Shelhamer
Papers from Stephen L. H. Lau's perspective
Ordered by how strongly the researchers Stephen L. H. Lau 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Fully convolutional networks for semantic segmentation
- ImageNet Large Scale Visual Recognition Challenge