Baoxian Li
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Baoxian Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Baoxian Li's perspective
Ordered by how strongly the researchers Baoxian Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Understanding the difficulty of training deep feedforward neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Visualizing and Understanding Convolutional Networks
- Fully convolutional networks for semantic segmentation
- Long Short-Term Memory