Adrian Spurr
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 158 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 40 citations into it
- Human-Computer Interaction — 23 citations into it
- Generative Models — 15 citations into it
- Control and Systems Engineering — 14 citations into it
- Artificial Intelligence — 10 citations into it
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
- 3D Vision & Pose — 5 citations into it
Whom Adrian Spurr trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Yoshua Bengio
- Individualized Treat
- Andrew Zisserman
Who trusts Adrian Spurr overall
Papers from Adrian Spurr's perspective
Ordered by how strongly the researchers Adrian Spurr trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Cross-Modal Deep Variational Hand Pose Estimation (2018) — 309 citations
- Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks (2019) — 55 citations