Erwin M. Bakker

Computer Vision and Pattern Recognition · 2003–2021

A researcher in the Science corpus: 3 papers; trusts 270 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 45 citations into it
• Model Architectures — 19 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Meta & Continual Learning — 8 citations into it
• Optimization & Training — 8 citations into it
• Natural Language Processing — 5 citations into it

Whom Erwin M. Bakker trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Jia Deng
6. Yoshua Bengio
7. Yann LeCun
8. Ross B. Girshick
9. Ilya Sutskever
10. Andrew Zisserman

Papers from Erwin M. Bakker's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• CNN-RNN: a large-scale hierarchical image classification framework (2017) — 144 citations
• Lifelong Person Re-Identification via Adaptive Knowledge Accumulation (2021) — 121 citations
• Image and Video Retrieval (2003) — 343 citations