Philipp Bergmann

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 289 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #8,521 of 21,575 by trust here, #11,083 by citations
• Artificial Intelligence — 19 citations into it
• Aerospace Engineering — 6 citations into it

Whom Philipp Bergmann trusts overall

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

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

Who trusts Philipp Bergmann overall

1. Guillem Brasó
2. Xingyi Zhou
3. Jinkun Cao
4. Nir Aharon
5. L. Leal-Taix'e
6. Jonathon Luiten
7. Jiangmiao Pang
8. Yifu Zhang
9. Pei Sun
10. Patrick Dendorfer

Papers from Philipp Bergmann's perspective

Ordered by how strongly the researchers Philipp Bergmann 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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

• Tracking Without Bells and Whistles (2019) — 1,056 citations