Christian Thurau
Computer Vision and Pattern Recognition · 2008–2017
A researcher in the Science corpus: 8 papers; trusts 265 researchers and is trusted by 93 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it; #3,256 of 21,575 by trust here, #3,124 by citations
- Artificial Intelligence — 29 citations into it; #6,999 of 35,345 by trust here, #4,316 by citations
- Representation & Self-Supervised Learning — 14 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Analytical Chemistry — 7 citations into it
- Signal Processing — 7 citations into it; #3,036 of 7,572 by trust here, #6,083 by citations
- Biomedical Engineering — 6 citations into it
- Natural Language Processing — 6 citations into it
Whom Christian Thurau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian T. Jolliffe
- Daniel D. Lee
- Antonio Torralba
- Fatih Murat Porikli
- Juan Carlos Niebles
- Navneet Dalal
- Ivan Laptev
- Rob Fergus
- Li Fei-Fei
- David M. Blei
Who trusts Christian Thurau overall
- Nazli Ikizler-Cinbis
- Abdalrahman Eweiwi
- Guo-qing Guo
- Eshed Ohn-Bar
- Daniel Weinland
- Chenyue Wu
- Michalis Vrigkas
- Zhe L. Lin
- Manuel J. A. Eugster
- Shahzad Cheema
Papers from Christian Thurau's perspective
Ordered by how strongly the researchers Christian Thurau trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The “Something Something” Video Database for Learning and Evaluating Visual Common Sense (2017) — 2,008 citations
- Pose primitive based human action recognition in videos or still images (2008) — 339 citations
- Action recognition by learning discriminative key poses (2011) — 77 citations
- Guns, swords and data: Clustering of player behavior in computer games in the wild (2012) — 197 citations
- Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis. (2012) — 150 citations
- Introducing Archetypal Analysis for Player Classification in Games (2011) — 16 citations
- Archetypal Images in Large Photo Collections (2009) — 11 citations
- Making Archetypal Analysis Practical (2009) — 78 citations