Bingsheng Huang
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 7 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 — 15 citations into it
Whom Bingsheng Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bingsheng Huang's perspective
Ordered by how strongly the researchers Bingsheng Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Dropout: a simple way to prevent neural networks from overfitting
- Gradient-based learning applied to document recognition
- Fully convolutional networks for semantic segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database