Graham Fyffe
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 125 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it; #11,935 of 21,575 by trust here, #6,146 by citations
- Media Technology — 14 citations into it
- Artificial Intelligence — 13 citations into it
- Computer Graphics and Computer-Aided Design — 9 citations into it
- 3D Vision & Pose — 8 citations into it
- Optimization & Training — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Graham Fyffe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Jimmy Ba
- Geoffrey E. Hinton
- Kaiming He
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Ross B. Girshick
Who trusts Graham Fyffe overall
Papers from Graham Fyffe's perspective
Ordered by how strongly the researchers Graham Fyffe 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DeepView: View Synthesis With Learned Gradient Descent (2019) — 487 citations
- Stereo magnification (2018) — 430 citations
- Single image portrait relighting (2019) — 306 citations