Lukas Liebel

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 288 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #9,850 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 10 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Lukas Liebel trusts overall

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

1. Ross B. Girshick
2. Diederik P. Kingma
3. R. Caruana
4. Kaiming He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Stephan R. Richter
8. David Eigen
9. Sebastian Ruder
10. Kyle Duffie

Who trusts Lukas Liebel overall

1. Ganesh Sistu
2. Sumanth Chennupati
3. Yicheng Liu
4. Isabelle Leang
5. Senthil Kumar Yogamani
6. Samir A. Rawashdeh
7. Jinghuai Zhang
8. Christian Schröder de Witt
9. Stefan Milz
10. Kevin Jesse

Papers from Lukas Liebel's perspective

Ordered by how strongly the researchers Lukas Liebel 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Auxiliary Tasks in Multi-task Learning (2018) — 314 citations