Oliver Nalbach

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Oliver Nalbach trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Alexey Dosovitskiy
5. Andrew Zisserman
6. Jeff Donahue
7. Anna Bosch
8. Yangqing Jia
9. Evan Shelhamer
10. Ilya Sutskever

Who trusts Oliver Nalbach overall

1. Nantheera Anantrasirichai
2. Zhengqin Li
3. D. Bull
4. Shichen Liu

Papers from Oliver Nalbach's perspective

Ordered by how strongly the researchers Oliver Nalbach 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. 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. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Shading: Convolutional Neural Networks for Screen Space Shading (2016) — 175 citations