Yanming Zhang
Computer Vision and Pattern Recognition · with Liu · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 131 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 63 citations into it; #17,973 of 21,575 by trust here, #11,721 by citations
- Artificial Intelligence — 38 citations into it; #32,823 of 35,345 by trust here, #21,316 by citations
- Model Architectures — 18 citations into it
- Optimization & Training — 14 citations into it
- Generative Models — 9 citations into it
- Natural Language Processing — 6 citations into it
Whom Yanming Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- J. Urgen Schmidhuber
- Karen Simonyan
Who trusts Yanming Zhang overall
Papers from Yanming Zhang's perspective
Ordered by how strongly the researchers Yanming Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep Hyperspherical Learning (2017) — 153 citations
- Drawing and Recognizing Chinese Characters with Recurrent Neural Network (2016) — 349 citations
- Adaptive spatial pooling for image classification (2016) — 50 citations