Julie Chang
Computer Vision and Pattern Recognition · 2018
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 — 5 citations into it
Whom Julie Chang trusts overall
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Who trusts Julie Chang overall
Papers from Julie Chang's perspective
Ordered by how strongly the researchers Julie Chang trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Deep learning with coherent nanophotonic circuits (Nature Photonics)
- Photonic Floquet topological insulators (Nature)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Light Field Photography with a Hand-held Plenoptic Camera