Mathias Perslev

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Mathias Perslev trusts overall

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

1. Diederik P. Kingma
2. Sergey Ioffe
3. Fisher Yu
4. Evan Shelhamer
5. Christian Szegedy
6. Olaf Ronneberger
7. Jimmy Ba
8. William R. Crum
9. Geoffrey E. Hinton
10. Augustus Odena

Who trusts Mathias Perslev overall

1. Jiehui Xu
2. Yiyuan Yang
3. Haixu Wu

Papers from Mathias Perslev's perspective

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

Their papers

• The Medical Segmentation Decathlon (2021) — 1,513 citations
• U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging (2019) — 337 citations