Fengfu Li
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 431 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it; #4,283 of 21,575 by trust here, #14,151 by citations
- Artificial Intelligence — 11 citations into it
- Efficiency & Compression — 11 citations into it; #164 of 1,264 by trust here, #1,030 by citations
- Model Architectures — 10 citations into it; #412 of 2,278 by trust here, #1,774 by citations
Whom Fengfu Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Geoffrey E. Hinton
- Ilya Sutskever
- Andrew Zisserman
- Matthieu Courbariaux
- Christian Szegedy
Who trusts Fengfu Li overall
- Huiqiang Xie
- Alexandre D'efossez
- Linfeng Zhang
- Md Maruf Hossain Shuvo
- Xiaoxia Wu
- Sohei Itahara
- Zi-Mei Yao
- Haoli Bai
- Zhijin Qin
- Gaurav Menghani
Papers from Fengfu Li's perspective
Ordered by how strongly the researchers Fengfu Li 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
- Long Short-Term Memory
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Ternary Weight Networks (2016) — 592 citations