Patrick Helber

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 194 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #11,126 of 21,575 by trust here, #5,333 by citations
• Media Technology — 29 citations into it; #1,740 of 3,621 by trust here, #398 by citations
• Artificial Intelligence — 23 citations into it
• Model Architectures — 14 citations into it
• Evaluation & Benchmarks — 8 citations into it; #1,744 of 3,147 by trust here, #1,138 by citations
• Ecology — 6 citations into it; #3,909 of 10,717 by trust here, #2,091 by citations
• Atmospheric Science — 5 citations into it; #1,919 of 4,804 by trust here, #570 by citations

Whom Patrick Helber trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Karen Simonyan
4. X. Zhang
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Keiller Nogueira
8. Shaoqing Ren
9. Ross B. Girshick
10. Andrew Zisserman

Who trusts Patrick Helber overall

1. Hyojin Bahng
2. Renrui Zhang
3. Yunhui Guo
4. Xiaohua Zhai
5. Hieu Pham
6. Maxim Neumann
7. Carlos Riquelme
8. Joan Puigcerver
9. Hao Huang
10. Hongbin Liu

Papers from Patrick Helber's perspective

Ordered by how strongly the researchers Patrick Helber trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (2017) — 2,804 citations
• Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (2018) — 293 citations
• Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks (2017) — 60 citations
• Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks (2017) — 272 citations