Shengchen Li
Media Technology · 2021
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 21 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Atmospheric Science — 12 citations into it
- Ecology — 9 citations into it
Whom Shengchen Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shengchen Li's perspective
Ordered by how strongly the researchers Shengchen Li 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- 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)