Nathan Hughes

Computer Vision and Pattern Recognition · with Carlone · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 150 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 115 citations into it
• Aerospace Engineering — 76 citations into it
• Computational Mechanics — 16 citations into it
• Control and Systems Engineering — 8 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Nathan Hughes trusts overall

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

1. Dorian Gálvez-López
2. Robert W. Sumner
3. Antoni Rosinol
4. Kaiming He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Bolei Zhou
8. Juan D. Tardós
9. Vincent D. Blondel
10. Ross B. Girshick

Who trusts Nathan Hughes overall

1. Kevin Qinghong Lin
2. Christopher Agia

Papers from Nathan Hughes's perspective

Ordered by how strongly the researchers Nathan Hughes 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Kimera: From SLAM to spatial perception with 3D dynamic scene graphs (2021) — 364 citations
• Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization (2022) — 325 citations