Yali Zang
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Artificial Intelligence — 16 citations into it
- Model Architectures — 10 citations into it
Whom Yali Zang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yali Zang's perspective
Ordered by how strongly the researchers Yali Zang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Histograms of oriented gradients for human detection
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Backpropagation Applied to Handwritten Zip Code Recognition
- Gradient-based learning applied to document recognition
- Fully convolutional networks for semantic segmentation
- Understanding the difficulty of training deep feedforward neural networks