Joseph Ortiz

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #18,702 of 21,575 by trust here, #14,151 by citations
• Aerospace Engineering — 11 citations into it; #5,373 of 6,421 by trust here, #3,388 by citations
• Artificial Intelligence — 11 citations into it
• 3D Vision & Pose — 7 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it
• Geology — 7 citations into it

Whom Joseph Ortiz trusts overall

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

1. Richard A. Newcombe
2. Diederik P. Kingma
3. Georg S. W. Klein
4. Brian Curless
5. Raul Mur-Artal
6. Thomas Whelan

Who trusts Joseph Ortiz overall

1. Zachary Teed

Papers from Joseph Ortiz's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. A volumetric method for building complex models from range images
9. KinectFusion: Real-time dense surface mapping and tracking
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• iMAP: Implicit Mapping and Positioning in Real-Time (2021) — 888 citations