Guannan Zhao
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
- Artificial Intelligence — 13 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
Whom Guannan Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Matthew D. Zeiler
- Andrea Vedaldi
- Aravindh Mahendran
- Geoffrey E. Hinton
- Rob Fergus
- Alex Krizhevsky
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
Who trusts Guannan Zhao overall
Papers from Guannan Zhao's perspective
Ordered by how strongly the researchers Guannan Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations (2018) — 55 citations
- An In-field Automatic Wheat Disease Diagnosis System (2017) — 347 citations