Alexander Keller

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #6,181 of 21,572 by trust here, #5,620 by citations

Whom Alexander Keller trusts overall

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

1. Matthew Tancik

Who trusts Alexander Keller overall

1. Jeff Johnson
2. Zehao Yu
3. Jiaxiang Tang

Papers from Alexander Keller's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
3. Convolutional Sequence to Sequence Learning
4. Neural Sparse Voxel Fields
5. Convolutional Occupancy Networks (European Conference on Computer Vision)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. FastNeRF: High-Fidelity Neural Rendering at 200FPS (IEEE International Conference on Computer Vision)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (Computer Vision and Pattern Recognition)
10. NeX: Real-time View Synthesis with Neural Basis Expansion (Computer Vision and Pattern Recognition)

Their papers

• Instant neural graphics primitives with a multiresolution hash encoding (2022) — 6,052 citations
• A decomposition for in-place matrix transposition (2014) — 49 citations