Jamie Watson

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 270 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it
• Media Technology — 27 citations into it
• Aerospace Engineering — 25 citations into it
• Evaluation & Benchmarks — 8 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Jamie Watson trusts overall

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

1. Kaiming He
2. Clément Godard
3. Heiko Hirschmüller
4. David Eigen
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Alex Krizhevsky
8. Rob Fergus
9. Andreas Geiger
10. David G. Lowe

Who trusts Jamie Watson overall

1. Matteo Poggi
2. Filippo Aleotti

Papers from Jamie Watson's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth (2021) — 370 citations
• Self-Supervised Monocular Depth Hints (2019) — 294 citations