Matthias Mueller

Computer Vision and Pattern Recognition · European Conference on Computer Vision · 2015–2023

A researcher in the Science corpus: 7 papers; trusts 476 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 213 citations into it; #3,726 of 21,575 by trust here, #2,857 by citations
• Artificial Intelligence — 38 citations into it
• Aerospace Engineering — 31 citations into it
• Reinforcement Learning — 17 citations into it
• Electrical and Electronic Engineering — 16 citations into it; #960 of 16,539 by trust here, #5,257 by citations
• Global and Planetary Change — 11 citations into it
• Computational Mechanics — 9 citations into it
• Computer Graphics and Computer-Aided Design — 8 citations into it

Whom Matthias Mueller trusts overall

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

1. Yi Wu
2. Zdenek Kalal
3. Martin Danelljan
4. João F. Henriques
5. Geoffrey E. Hinton
6. Ming-Hsuan Yang
7. Alex Krizhevsky
8. Kaiming He
9. Jongwoo Lim
10. Yann LeCun

Who trusts Matthias Mueller overall

1. Martin Danelljan
2. Matthias Müller
3. Goutam Bhat
4. Yiming Li
5. Ziyuan Huang
6. Zhenhua Feng
7. Ning Wang
8. Heng Fan
9. Christoph Mayer
10. Xin Chen

Papers from Matthias Mueller's perspective

Ordered by how strongly the researchers Matthias Mueller 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
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

• The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• A Benchmark and Simulator for UAV Tracking (2016) — 1,861 citations
• Context-Aware Correlation Filter Tracking (2017) — 607 citations
• The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
• CLNeRF: Continual Learning Meets NeRF (2023) — 34 citations
• Teaching UAVs to Race Using UE4Sim (2017) — 10 citations