John Flynn
Computer Vision and Pattern Recognition · with Wang · 2016
A researcher in the Science corpus: 2 papers; trusts 180 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #18,732 of 21,575 by trust here, #18,266 by citations
- Artificial Intelligence — 24 citations into it; #30,759 of 35,345 by trust here, #30,347 by citations
- Model Architectures — 12 citations into it
- Human-Computer Interaction — 8 citations into it
- 3D Vision & Pose — 5 citations into it
- Media Technology — 5 citations into it
- Optimization & Training — 5 citations into it
Whom John Flynn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- David G. Lowe
- Geoffrey E. Hinton
- Yann LeCun
- Robert Tibshirani
- Karen Simonyan
- Kaiming He
- Ross B. Girshick
- Yoshua Bengio
- Ilya Sutskever
Who trusts John Flynn overall
Papers from John Flynn's perspective
Ordered by how strongly the researchers John Flynn 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)
- Gradient-based learning applied to document 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Recognizing Actions in 3D Using Action-Snippets and Activated Simplices (2016) — 29 citations
- Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons (2016) — 11 citations