Katja Schwarz

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 502 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 115 citations into it; #4,214 of 21,575 by trust here, #5,754 by citations
• Generative Models — 77 citations into it; #650 of 1,956 by trust here, #1,200 by citations
• Artificial Intelligence — 29 citations into it
• Computer Graphics and Computer-Aided Design — 29 citations into it; #921 of 1,584 by trust here, #433 by citations
• Computational Mechanics — 22 citations into it
• 3D Vision & Pose — 21 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Katja Schwarz trusts overall

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

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

Who trusts Katja Schwarz overall

1. Tero Karras
2. Eric Chan
3. Ajay Jain
4. Jonathan T. Barron
5. Shangzhe Wu
6. Ben Mildenhall
7. Jiatao Gu
8. Peter Hedman
9. Yang Song
10. Haochen Wang

Papers from Katja Schwarz's perspective

Ordered by how strongly the researchers Katja Schwarz 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. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis (2020) — 989 citations
• StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets (2022) — 702 citations