Stefan Heinrich

Computer Vision and Pattern Recognition · with Hinz · 2019

A researcher in the Science corpus: 2 papers; trusts 449 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #5,704 of 21,575 by trust here, #9,563 by citations
• Generative Models — 51 citations into it; #1,471 of 1,956 by trust here, #1,435 by citations
• Multimodal Learning — 20 citations into it; #548 of 1,211 by trust here, #962 by citations
• Artificial Intelligence — 11 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Stefan Heinrich trusts overall

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

1. Geoffrey E. Hinton
2. Scott E. Reed
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Kaiming He
6. Yoshua Bengio
7. Karen Simonyan
8. Oriol Vinyals
9. Yann LeCun
10. Ilya Sutskever

Who trusts Stefan Heinrich overall

1. Jaemin Cho
2. Tobias Hinz
3. Stanislav Frolov
4. Han Zhang
5. Zejian Li
6. Yufan Zhou
7. Tianfu Wu
8. Jiadong Liang
9. Abhaysinh Zala
10. Tingting Qiao

Papers from Stefan Heinrich's perspective

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

• Generating Multiple Objects at Spatially Distinct Locations (2019) — 107 citations
• Semantic Object Accuracy for Generative Text-to-Image Synthesis (2019) — 188 citations