Lei Yang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · with Hu · 2017
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Lei Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lei Yang overall
Papers from Lei Yang's perspective
Ordered by how strongly the researchers Lei Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Multi-Scale Context Aggregation by Dilated Convolutions
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation (2017) — 334 citations