Alain D. Lehmann
Computer Vision and Pattern Recognition · 2011
A researcher in the Science corpus: 1 paper; trusts 280 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #17,534 of 21,575 by trust here, #20,756 by citations
- Artificial Intelligence — 11 citations into it
- Aerospace Engineering — 6 citations into it
Whom Alain D. Lehmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Krystian Mikolajczyk
- Cordelia Schmid
- Subhransu Maji
- Andrew Zisserman
- Navneet Dalal
- Jitendra Malik
- Pedro F. Felzenszwalb
- David G. Lowe
- Dana H. Ballard
- Paul A. Viola
Who trusts Alain D. Lehmann overall
Papers from Alain D. Lehmann's perspective
Ordered by how strongly the researchers Alain D. Lehmann 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Fast PRISM: Branch and Bound Hough Transform for Object Class Detection (2011) — 81 citations