Markus Worchel

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Computer Graphics and Computer-Aided Design — 19 citations into it
• Computational Mechanics — 16 citations into it
• 3D Vision & Pose — 14 citations into it

Whom Markus Worchel trusts overall

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

1. Johannes L. Schönberger
2. Diederik P. Kingma
3. Michael Oechsle
4. Lars M. Mescheder
5. Michael Niemeyer
6. Songyou Peng
7. Andreas Geiger
8. Jimmy Ba
9. Jan-Michael Frahm
10. Vincent Sitzmann

Who trusts Markus Worchel overall

1. Chaozheng Wu

Papers from Markus Worchel's perspective

Ordered by how strongly the researchers Markus Worchel 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multi-View Mesh Reconstruction with Neural Deferred Shading (2022) — 67 citations