Hanruo Liu
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 71 citations into it
- Artificial Intelligence — 35 citations into it
Whom Hanruo Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hanruo Liu's perspective
Ordered by how strongly the researchers Hanruo Liu 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
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Applications of Deep Learning in Fundus Images: A Review (2021) — 338 citations
- Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective (2020) — 530 citations
- Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening (2019) — 592 citations