Lin Gu
Computer Vision and Pattern Recognition · with Bai · 2024
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it
- Computer Graphics and Computer-Aided Design — 23 citations into it
- 3D Vision & Pose — 7 citations into it
Whom Lin Gu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Deva Ramanan (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Alexei A. Efros (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Vladlen Koltun (in Computer Vision and Pattern Recognition)
- Matthew Tancik (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Jan-Michael Frahm (in Computer Vision and Pattern Recognition)
Papers from Lin Gu's perspective
Ordered by how strongly the researchers Lin Gu trusts endorse each paper. Same corpus, a different order for every researcher.
- Image quality assessment: from error visibility to structural similarity
- The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
- pixelNeRF: Neural Radiance Fields from One or Few Images
- Large Scale Multi-view Stereopsis Evaluation (2014 IEEE Conference on Computer Vision and Pattern Recognition)
- Structure-from-Motion Revisited
- Neural Sparse Voxel Fields
- View Synthesis by Appearance Flow
- Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
- Instant neural graphics primitives with a multiresolution hash encoding
- Plenoxels: Radiance Fields without Neural Networks (Computer Vision and Pattern Recognition)