S. Kevin Zhou
Computer Vision and Pattern Recognition · with Li · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 75 citations into it
- Radiology, Nuclear Medicine and Imaging — 63 citations into it
- Biomedical Engineering — 15 citations into it
- Cognitive Neuroscience — 6 citations into it
Whom S. Kevin Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Diederik P. Kingma
- Bruce Fischl
- Phi Vu Tran
Who trusts S. Kevin Zhou overall
Papers from S. Kevin Zhou's perspective
Ordered by how strongly the researchers S. Kevin Zhou 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge