Jingyang Gao
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it
- Artificial Intelligence — 12 citations into it
- Model Architectures — 7 citations into it
Whom Jingyang Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Szegedy
- Sergey Ioffe
- Karen Simonyan
- Shai Shalev-Shwartz
- Kaiming He
- Evan Shelhamer
- Geoffrey E. Hinton
- Andrew Zisserman
- Alex Krizhevsky
- Yann LeCun
Papers from Jingyang Gao's perspective
Ordered by how strongly the researchers Jingyang Gao 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
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database