Yefeng Zheng
Computer Vision and Pattern Recognition · with Yang · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 399 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 54 citations into it; #11,209 of 21,575 by trust here, #12,419 by citations
- Artificial Intelligence — 26 citations into it
- Generative Models — 14 citations into it; #1,031 of 1,956 by trust here, #1,355 by citations
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Media Technology — 5 citations into it
Whom Yefeng Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- David G. Lowe
- Kaiming He
- Karen Simonyan
- Diederik P. Kingma
- Yoshua Bengio
- Andrew Zisserman
- Ross B. Girshick
Who trusts Yefeng Zheng overall
Papers from Yefeng Zheng's perspective
Ordered by how strongly the researchers Yefeng Zheng 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)