Beibei Lin
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
- Biomedical Engineering — 6 citations into it
Whom Beibei Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shiqi Yu
- Alexander Hermans
- Filip Radenovic
- Hanqing Chao
- Zifeng Wu
- Kohei Shiraga
- Chao Fan
- Yasushi Makihara
- Giorgos Tolias
- Lucas Beyer
Papers from Beibei Lin's perspective
Ordered by how strongly the researchers Beibei 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)