Qinghan Li
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 38 citations into it
- Biomedical Engineering — 20 citations into it
- Artificial Intelligence — 19 citations into it
Whom Qinghan Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Yifan Zhang
- Andrew Zisserman
- Geoffrey E. Hinton
- Jun Liu
- Lei Shi
- Alex Krizhevsky
- Kaiming He
Papers from Qinghan Li's perspective
Ordered by how strongly the researchers Qinghan Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge