Frank Keller

Computer Vision and Pattern Recognition · with Gella · 2016

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Frank Keller trusts overall

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

1. Karen Simonyan
2. Beth Levin

Papers from Frank Keller's perspective

Ordered by how strongly the researchers Frank Keller trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet: A large-scale hierarchical image database
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Efficient Estimation of Word Representations in Vector Space
10. GloVe: Global Vectors for Word Representation

Their papers

• Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings (2016) — 54 citations