Patrick Dendorfer

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 257 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 96 citations into it; #20,659 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 31 citations into it; #34,008 of 35,345 by trust here, #17,110 by citations
• Aerospace Engineering — 11 citations into it

Whom Patrick Dendorfer trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Anton Milan
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yann LeCun
8. Pedro F. Felzenszwalb
9. L. Leal-Taix'e
10. Navneet Dalal

Who trusts Patrick Dendorfer overall

1. Jinkun Cao
2. Gerard Maggiolino
3. Tim Meinhardt
4. Nir Aharon
5. Kris M. Kitani
6. Yongxin Wang
7. Yunhao Du
8. Xinshuo Weng
9. Jonathon Luiten
10. Chao Liang

Papers from Patrick Dendorfer's perspective

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

Their papers

• HOTA: A Higher Order Metric for Evaluating Multi-object Tracking (2020) — 1,353 citations
• MOT20: A benchmark for multi object tracking in crowded scenes (2020) — 875 citations
• MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking (2020) — 371 citations