Andrea Pilzer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 147 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #18,930 of 21,575 by trust here, #19,310 by citations
• Aerospace Engineering — 11 citations into it
• Media Technology — 10 citations into it; #3,135 of 3,621 by trust here, #3,091 by citations

Whom Andrea Pilzer trusts overall

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

1. Geoffrey E. Hinton
2. Andreas Geiger
3. Ross B. Girshick
4. Clément Godard
5. Alex Krizhevsky
6. Karen Simonyan
7. Kaiming He
8. Andrew Zisserman
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Andrea Pilzer overall

1. Lin Wang
2. Marvin Klingner
3. Matteo Poggi
4. Hongxu Yin
5. Kuk-Jin Yoon
6. Filippo Aleotti
7. Jan-Aike Termöhlen

Papers from Andrea Pilzer's perspective

Ordered by how strongly the researchers Andrea Pilzer 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation (2019) — 140 citations