Josef Stumpfegger

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Computer Graphics and Computer-Aided Design — 11 citations into it

Whom Josef Stumpfegger trusts overall

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

1. Peter Hedman
2. Jonathan T. Barron
3. Mohammad Rastegari

Papers from Josef Stumpfegger's perspective

Ordered by how strongly the researchers Josef Stumpfegger 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. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Deep blending for free-viewpoint image-based rendering (ACM Transactions on Graphics)
9. Histograms of oriented gradients for human detection
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis (2023) — 296 citations