Jacob Gotberg

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Structural Biology — 5 citations into it
• Surfaces, Coatings and Films — 5 citations into it

Whom Jacob Gotberg trusts overall

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

1. Sjors H. W. Scheres
2. Joseph Redmon
3. Andrea Vedaldi
4. Shaoqing Ren
5. Ali Farhadi

Papers from Jacob Gotberg's perspective

Ordered by how strongly the researchers Jacob Gotberg 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. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression (2018) — 6 citations