Tim Meinhardt

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 648 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 114 citations into it; #5,143 of 21,575 by trust here, #6,426 by citations
• Artificial Intelligence — 45 citations into it; #34,139 of 35,345 by trust here, #18,186 by citations
• Aerospace Engineering — 14 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Ocean Engineering — 7 citations into it

Whom Tim Meinhardt trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yann LeCun
7. Ilya Sutskever
8. Shaoqing Ren
9. Karen Simonyan
10. Yoshua Bengio

Who trusts Tim Meinhardt overall

1. Kai Zhang
2. Jinkun Cao
3. Pei Sun
4. Wangmeng Zuo
5. Jonas Adler
6. Fangao Zeng
7. Jialian Wu
8. Chong Mou
9. Vishal Monga
10. Yi Jiang

Papers from Tim Meinhardt's perspective

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

Their papers

• Tracking Without Bells and Whistles (2019) — 1,056 citations
• TrackFormer: Multi-Object Tracking with Transformers (2021) — 1,096 citations
• Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems (2017) — 394 citations