Michael Scheuering
Computer Vision and Pattern Recognition · 2008
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Michael Scheuering trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Michael Scheuering's perspective
Ordered by how strongly the researchers Michael Scheuering trusts endorse each paper. Same corpus, a different order for every researcher.
- Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering (Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Histograms of oriented gradients for human detection