Thomas Leimkuehler

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #10,150 of 21,575 by trust here, #7,092 by citations

Whom Thomas Leimkuehler trusts overall

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

1. Justus Thies
2. Eric Penner

Who trusts Thomas Leimkuehler overall

1. Jiaxiang Tang
2. Zehao Yu
3. Zhiwen Fan
4. Zilong Chen
5. Antoine Guédon
6. Zehao Zhu

Papers from Thomas Leimkuehler's perspective

Ordered by how strongly the researchers Thomas Leimkuehler trusts endorse each paper. Same corpus, a different order for every researcher.

1. Unstructured lumigraph rendering (International Conference on Computer Graphics and Interactive Techniques)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. View Synthesis by Appearance Flow
6. Attention is All you Need (Neural Information Processing Systems)
7. PlenOctrees for Real-time Rendering of Neural Radiance Fields (IEEE International Conference on Computer Vision)
8. Instant neural graphics primitives with a multiresolution hash encoding
9. SynSin: End-to-End View Synthesis From a Single Image (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• 3D Gaussian Splatting for Real-Time Radiance Field Rendering (2023) — 9,441 citations