Feng Zhu
Computer Vision and Pattern Recognition · with Liu · 2020
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it
- Artificial Intelligence — 9 citations into it
- Model Architectures — 7 citations into it
Whom Feng Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jessica J. Fridrich
- Tomás Pevný
- Belhassen Bayar
- Kaiming He
- Karen Simonyan
- Jan Kodovský
- Sergey Ioffe
- Vojtech Holub
- Xavier Glorot
- Christian Szegedy
Papers from Feng Zhu's perspective
Ordered by how strongly the researchers Feng Zhu 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
- Going deeper with convolutions
- 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)