Benjamin Coors
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it; #11,213 of 21,575 by trust here, #17,258 by citations
- Model Architectures — 8 citations into it
- Artificial Intelligence — 7 citations into it
Whom Benjamin Coors trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Kaiming He
- Yangqing Jia
- Yu-Chuan Su
- Andrew Zisserman
- Geoffrey E. Hinton
- Alex Krizhevsky
- Pascal Frossard
- Taco Cohen
- Yann LeCun
Who trusts Benjamin Coors overall
- Michaël Defferrard
- Yu-Chuan Su
- Nathanael Perraudin
- Jonathan A. Weyn
- Kristen Grauman
- Senthil Kumar Yogamani
- Dale R. Durran
- Martino Milani
Papers from Benjamin Coors's perspective
Ordered by how strongly the researchers Benjamin Coors trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions