Joel Stehouwer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 244 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it
• Signal Processing — 20 citations into it
• Artificial Intelligence — 19 citations into it
• Generative Models — 13 citations into it
• Model Architectures — 6 citations into it

Whom Joel Stehouwer trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yoshua Bengio
8. Andrew Zisserman
9. Yann LeCun
10. Jun-Yan Zhu

Who trusts Joel Stehouwer overall

1. Kaede Shiohara
2. Diego Gragnaniello
3. Yucheng Luo
4. Zitong Yu
5. Honggu Liu
6. Mingjian Zhu
7. Toshihiko Yamasaki
8. Luisa Verdoliva
9. Francesco Marra
10. Yunpei Jia

Papers from Joel Stehouwer's perspective

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

Their papers

• Deep Tree Learning for Zero-Shot Face Anti-Spoofing (2019) — 263 citations
• On the Detection of Digital Face Manipulation (2019) — 759 citations