Gang Fu
Computer Vision and Pattern Recognition · with Liu · 2017
A researcher in the Science corpus: 1 paper; trusts 98 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it; #17,344 of 21,575 by trust here, #19,766 by citations
- Artificial Intelligence — 12 citations into it
- Media Technology — 11 citations into it; #2,728 of 3,621 by trust here, #3,192 by citations
- Model Architectures — 6 citations into it
Whom Gang Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Christian Szegedy
- Kaiming He
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
- Evan Shelhamer
- Philipp Krahenbuhl
Who trusts Gang Fu overall
Papers from Gang Fu's perspective
Ordered by how strongly the researchers Gang Fu 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions