Jay Karhade

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Aerospace Engineering — 27 citations into it

Whom Jay Karhade trusts overall

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

1. Thomas Whelan
2. Raul Mur-Artal
3. Zachary Teed
4. Jürgen Sturm
5. Richard A. Newcombe
6. Andrew J. Davison

Papers from Jay Karhade's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. KinectFusion: Real-time dense surface mapping and tracking
5. A volumetric method for building complex models from range images
6. ImageNet: A large-scale hierarchical image database
7. A benchmark for the evaluation of RGB-D SLAM systems
8. Attention is All you Need (Neural Information Processing Systems)
9. Distinctive Image Features from Scale-Invariant Keypoints
10. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

Their papers

• SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (2023) — 653 citations