Nicolai Wojke
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 275 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 49 citations into it; #7,241 of 21,575 by trust here, #7,852 by citations
- Artificial Intelligence — 19 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Signal Processing — 7 citations into it
- Biomedical Engineering — 6 citations into it; #5,989 of 10,734 by trust here, #9,539 by citations
- Model Architectures — 5 citations into it; #924 of 2,278 by trust here, #1,168 by citations
- Optimization & Training — 5 citations into it
Whom Nicolai Wojke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Liang Zheng
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- L. V. D. van der Maaten
- Yann LeCun
- Yoshua Bengio
- Sergey Zagoruyko
- Ross B. Girshick
Who trusts Nicolai Wojke overall
- Feryal M. P. Behbahani
- Xinshuo Weng
- Jinkun Cao
- Dan Andrei Ganea
- Xingyi Zhou
- Nir Aharon
- Linjie Yang
- Yifu Zhang
- Gerard Maggiolino
- Zhongdao Wang
Papers from Nicolai Wojke's perspective
Ordered by how strongly the researchers Nicolai Wojke 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- Going deeper with convolutions
Their papers
- Simple online and realtime tracking with a deep association metric (2017) — 4,744 citations
- Deep Cosine Metric Learning for Person Re-identification (2018) — 402 citations