Robert Jenssen

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 624 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it; #7,097 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 64 citations into it
• Model Architectures — 26 citations into it
• Optimization & Training — 21 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Aerospace Engineering — 7 citations into it
• Biophysics — 7 citations into it
• Generative Models — 7 citations into it

Whom Robert Jenssen trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Ross B. Girshick
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Ilya Sutskever
10. Shaoqing Ren

Who trusts Robert Jenssen overall

1. Yarin Gal
2. Ruixin Yang

Papers from Robert Jenssen's perspective

Ordered by how strongly the researchers Robert Jenssen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks (2016) — 572 citations
• Deep generative models for reject inference in credit scoring (2019) — 57 citations
• UNCERTAINTY MODELING AND INTERPRETABILITY IN CONVOLUTIONAL NEURAL NETWORKS FOR POLYP SEGMENTATION (2018) — 77 citations
• Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning (2018) — 509 citations