Sebastian Stabinger

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #17,305 of 21,575 by trust here, #19,766 by citations

Whom Sebastian Stabinger trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Sergios Theodoridis
4. Yann LeCun
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Ilya Sutskever
8. Franccois Fleuret
9. Yoshua Bengio
10. Bernhard E. Boser

Who trusts Sebastian Stabinger overall

1. Junkyung Kim
2. Samuel F. Dodge
3. Matthew Ricci
4. Lina Karam

Papers from Sebastian Stabinger's perspective

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

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

Their papers

• 25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? (2016) — 58 citations