Bin Li
Computer Vision and Pattern Recognition · 1 papers · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Bin Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bin Li overall
Papers from Bin Li's perspective
Ordered by how strongly the researchers Bin Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Backpropagation Applied to Handwritten Zip Code Recognition
- Normalized cuts and image segmentation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Snakes: Active contour models
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
Their papers
- Wound intensity correction and segmentation with convolutional neural networks (2017) — 209 citations