Stephen Hausler

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Aerospace Engineering — 28 citations into it

Whom Stephen Hausler trusts overall

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

1. Andrew Zisserman
2. Josef Sivic
3. Karen Simonyan
4. Akihiko Torii
5. Relja Arandjelovi'c
6. David G. Lowe
7. Christopher Evans
8. Herv'e J'egou
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Papers from Stephen Hausler's perspective

Ordered by how strongly the researchers Stephen Hausler 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition (2021) — 476 citations