Stephan Liwicki

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 287 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #13,636 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 16 citations into it; #22,037 of 35,345 by trust here, #21,878 by citations
• Efficiency & Compression — 9 citations into it
• Model Architectures — 6 citations into it

Whom Stephan Liwicki trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Sergey Ioffe
7. Christian Szegedy
8. Andrew Zisserman
9. Yoshua Bengio
10. Yann LeCun

Who trusts Stephan Liwicki overall

1. Sangyong Park
2. Tiago Cortinhal
3. Huihui Pan
4. Albert Y. Kim
5. Huayao Liu
6. Jonas Frey
7. Libo Wang

Papers from Stephan Liwicki's perspective

Ordered by how strongly the researchers Stephan Liwicki 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. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Fast-SCNN: Fast Semantic Segmentation Network (2019) — 692 citations