Sören Pirk

Computer Vision and Pattern Recognition · with Angelova · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Media Technology — 8 citations into it

Whom Sören Pirk trusts overall

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

1. Clément Godard
2. Zhichao Yin
3. David Eigen
4. Kevin Karsch
5. Ravi Garg
6. Oisin Mac Aodha
7. Zhou Wang
8. Kaiming He
9. Tinghui Zhou
10. Chaoyang Wang

Who trusts Sören Pirk overall

1. Marvin Klingner
2. Vitor Campanholo Guizilini
3. Jamie Watson
4. Chaoqiang Zhao
5. Xuan Luo

Papers from Sören Pirk's perspective

Ordered by how strongly the researchers Sören Pirk 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. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos (2018) — 505 citations