Herman Arnold Engelbrecht

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 88 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 19 citations into it; #23,127 of 35,345 by trust here, #33,294 by citations
• Representation & Self-Supervised Learning — 18 citations into it
• Multimodal Learning — 7 citations into it; #753 of 1,211 by trust here, #1,198 by citations

Whom Herman Arnold Engelbrecht trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Brenden M. Lake
5. Ruslan Salakhutdinov
6. Yoshua Bengio
7. Alex Krizhevsky
8. Oriol Vinyals
9. Jimmy Ba
10. L. Eon Bottou

Who trusts Herman Arnold Engelbrecht overall

1. David F. Harwath
2. Wei-Ning Hsu

Papers from Herman Arnold Engelbrecht's perspective

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

Their papers

• Multimodal One-shot Learning of Speech and Images (2018) — 36 citations