Martin Weigert

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Model Architectures — 7 citations into it

Whom Martin Weigert trusts overall

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

1. Kaiming He
2. Álvaro González
3. Shaoqing Ren
4. Ross B. Girshick
5. Yann LeCun
6. Olaf Ronneberger
7. Yuri Boykov
8. X. Zhang
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Martin Weigert overall

1. Alexander Krull
2. Alexandra B. Schroeder

Papers from Martin Weigert's perspective

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

Their papers

• Cell Detection with Star-convex Polygons (2018) — 1,640 citations
• A Liquid-to-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutation. (2015) — 2,658 citations
• Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy (2019) — 514 citations
• Content-aware image restoration: pushing the limits of fluorescence microscopy (2018) — 1,132 citations