Felix J. S. Bragman

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 23 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Felix J. S. Bragman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Yarin Gal
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Sergey Ioffe
7. Diederik P. Kingma
8. Yann LeCun
9. Yoshua Bengio
10. X. Zhang

Who trusts Felix J. S. Bragman overall

1. Simon Vandenhende
2. Ximeng Sun
3. Michael Crawshaw
4. Rameswar Panda
5. Bert De Brabandere
6. Luc Van Gool

Papers from Felix J. S. Bragman's perspective

Ordered by how strongly the researchers Felix J. S. Bragman trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels (2019) — 97 citations