Michael Fussenegger
Computer Vision and Pattern Recognition · 2004–2006
A researcher in the Science corpus: 2 papers; trusts 194 researchers and is trusted by 562 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it; #1,801 of 21,575 by trust here, #7,852 by citations
- Aerospace Engineering — 8 citations into it; #1,766 of 6,421 by trust here, #2,315 by citations
- Artificial Intelligence — 5 citations into it
Whom Michael Fussenegger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Krystian Mikolajczyk
- Cordelia Schmid
- David G. Lowe
- Rob Fergus
- Paul A. Viola
- Henry Schneiderman
- Shivani Agarwal
- Pietro Perona
- Andrew Zisserman
- Geoffrey E. Hinton
Who trusts Michael Fussenegger overall
- Andreas Opelt
- Andrew Zisserman
- Yi Yang
- Josef Sivic
- Svetlana Lazebnik
- Cordelia Schmid
- Bryan C. Russell
- Kristen Grauman
- Rob Fergus
- Axel Pinz
Papers from Michael Fussenegger's perspective
Ordered by how strongly the researchers Michael Fussenegger 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Weak Hypotheses and Boosting for Generic Object Detection and Recognition (2004) — 367 citations
- Generic object recognition with boosting (2006) — 431 citations