Michael D. Wagner
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
- Automotive Engineering — 8 citations into it; #1,657 of 3,081 by trust here, #2,851 by citations
- Artificial Intelligence — 7 citations into it; #25,433 of 35,345 by trust here, #30,347 by citations
- Aerospace Engineering — 5 citations into it
Whom Michael D. Wagner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michael D. Wagner overall
Papers from Michael D. Wagner's perspective
Ordered by how strongly the researchers Michael D. Wagner trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Object Detection with Discriminatively Trained Part Based Models
- Visualizing and Understanding Convolutional Networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Robustness Testing of Autonomy Software (2017) — 69 citations
- Autonomous Vehicle Safety: An Interdisciplinary Challenge (2017) — 612 citations
- Challenges in Autonomous Vehicle Testing and Validation (2016) — 663 citations