Gerhard Neuhold

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 653 researchers and is trusted by 585 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 84 citations into it; #1,773 of 21,575 by trust here, #3,982 by citations
• Artificial Intelligence — 44 citations into it; #28,574 of 35,345 by trust here, #23,731 by citations
• Evaluation & Benchmarks — 16 citations into it; #836 of 3,147 by trust here, #856 by citations
• Model Architectures — 14 citations into it
• Aerospace Engineering — 8 citations into it

Whom Gerhard Neuhold trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Andrew Zisserman
7. Yann LeCun
8. Shaoqing Ren
9. Christian Szegedy
10. Yoshua Bengio

Who trusts Gerhard Neuhold overall

1. Alexander Kirillov
2. Bowen Cheng
3. Liang-Chieh Chen
4. Xiangtai Li
5. Ross B. Girshick
6. Yuhui Yuan
7. Kaiming He
8. Rohit Mohan
9. Xiaodan Liang
10. Huiyu Wang

Papers from Gerhard Neuhold's perspective

Ordered by how strongly the researchers Gerhard Neuhold 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. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes (2017) — 1,529 citations
• Loss Max-Pooling for Semantic Image Segmentation (2017) — 126 citations