Felix Nobis

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 41 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 — 8 citations into it

Whom Felix Nobis trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Tsung-Yi Lin
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Andrew Zisserman
8. Jia Deng
9. Ilya Sutskever
10. Evan Shelhamer

Who trusts Felix Nobis overall

1. Xuanyao Chen
2. Yuwei Cheng

Papers from Felix Nobis's perspective

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

Their papers

• A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection (2019) — 313 citations