Adrian Hilton

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #9,291 of 21,575 by trust here, #12,419 by citations

Whom Adrian Hilton trusts overall

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

1. Volker Blanz
2. Thomas Vetter

Who trusts Adrian Hilton overall

1. James Booth

Papers from Adrian Hilton's perspective

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

1. Long Short-Term Memory
2. Generating Sequences With Recurrent Neural Networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. An Iterative Image Registration Technique with an Application to Stereo Vision
7. Gradient-based learning applied to document recognition
8. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
9. A Morphable Model For The Synthesis Of 3D Faces
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors (2017) — 339 citations
• A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling (2011) — 182 citations