Christoph Mayer

Computer Vision and Pattern Recognition · with Danelljan · 2015–2022

A researcher in the Science corpus: 3 papers; trusts 254 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 109 citations into it
• Aerospace Engineering — 17 citations into it
• Artificial Intelligence — 15 citations into it
• Electrical and Electronic Engineering — 11 citations into it

Whom Christoph Mayer trusts overall

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

1. Martin Danelljan
2. Goutam Bhat
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Ross B. Girshick
8. Yann LeCun
9. Yoshua Bengio
10. Karen Simonyan

Papers from Christoph Mayer's perspective

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

Their papers

• Learning Target Candidate Association to Keep Track of What Not to Track (2021) — 373 citations
• Origami: A Convolutional Network Accelerator (2015) — 157 citations
• Transforming Model Prediction for Tracking (2022) — 366 citations