Michael Schmitt
Computer Vision and Pattern Recognition · with Zhu · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Media Technology — 18 citations into it
- Artificial Intelligence — 8 citations into it
- Model Architectures — 6 citations into it
- Optimization & Training — 6 citations into it
- Generative Models — 5 citations into it
Whom Michael Schmitt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yi Yang
- Kaiming He
- Simon Jégou
- Noel Gorelick
- X. Zhang
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Shaoqing Ren
- Shawn D. Newsam
Who trusts Michael Schmitt overall
Papers from Michael Schmitt's perspective
Ordered by how strongly the researchers Michael Schmitt 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)