Yi Lin
Computer Vision and Pattern Recognition · with Chen · 2017
A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #15,491 of 21,575 by trust here, #17,258 by citations
- Biomedical Engineering — 15 citations into it; #6,126 of 10,734 by trust here, #8,509 by citations
- Human-Computer Interaction — 12 citations into it; #1,403 of 2,253 by trust here, #1,588 by citations
Whom Yi Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yi Lin overall
Papers from Yi Lin's perspective
Ordered by how strongly the researchers Yi Lin 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)