Edgar Tretschk

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 164 citations into it
• Computer Graphics and Computer-Aided Design — 105 citations into it
• 3D Vision & Pose — 41 citations into it
• Artificial Intelligence — 14 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Edgar Tretschk trusts overall

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

1. Diederik P. Kingma
2. Johannes L. Schönberger
3. Richard A. Newcombe
4. Michael F. Hutchinson
5. Michael Zollhöfer
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Alex Krizhevsky
9. Olga Sorkine-Hornung
10. Kaiming He

Who trusts Edgar Tretschk overall

1. Keunhong Park
2. Yiming Wang
3. Yu-Jie Yuan

Papers from Edgar Tretschk's perspective

Ordered by how strongly the researchers Edgar Tretschk 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. Attention is All you Need (Neural Information Processing Systems)
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Advances in Neural Rendering (2021) — 551 citations
• Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video (2020) — 637 citations