Jörg Wagner
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Reinforcement Learning — 10 citations into it
Whom Jörg Wagner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Geoffrey E. Hinton
- Ross B. Girshick
- Piotr Doll'ar
- Kaiming He
- Ilya Sutskever
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
Who trusts Jörg Wagner overall
- Kailai Zhou
- Van Nhan Nguyen
- Chengyang Li
- D. V. Carvalho
- Pepa Atanasova
- Matthew R. O'Shaughnessy
- Linsen Chen
- Robert Jenssen
- Dan Song
- Eduardo Marques Pereira
Papers from Jörg Wagner's perspective
Ordered by how strongly the researchers Jörg Wagner trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks (2019) — 132 citations
- Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics (2016) — 79 citations
- Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks (2016) — 298 citations