Richard A. Marcum
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 39 citations into it
- Media Technology — 25 citations into it
- Artificial Intelligence — 14 citations into it
- Model Architectures — 12 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Atmospheric Science — 6 citations into it
Whom Richard A. Marcum trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Radford M. Neal
- Kaiming He
- Geoffrey E. Hinton
- Christian Szegedy
- Ilya Sutskever
- Yi Yang
- Yangqing Jia
- Yoshua Bengio
- Dengxin Dai
Who trusts Richard A. Marcum overall
Papers from Richard A. Marcum's perspective
Ordered by how strongly the researchers Richard A. Marcum 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)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge