Kun Zhu
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it
- Artificial Intelligence — 26 citations into it
- Optimization & Training — 5 citations into it
Whom Kun Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kun Zhu's perspective
Ordered by how strongly the researchers Kun Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
- Histograms of oriented gradients for human detection
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)