Joachim Niemeyer
Computer Vision and Pattern Recognition · 2014
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it; #12,637 of 21,575 by trust here, #15,529 by citations
- Artificial Intelligence — 5 citations into it
- Environmental Engineering — 5 citations into it; #2,424 of 5,479 by trust here, #3,203 by citations
- Geology — 5 citations into it; #379 of 687 by trust here, #488 by citations
Whom Joachim Niemeyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kevin P. Murphy
- Yuri Boykov
- Dong C. Liu
- Sanjiv Kumar
- Jonathan Cheung-Wai Chan
- Franz Rottensteiner
- Trevor J. Hastie
- Jamie Shotton
- J. Reitberger
- Aurélien Lucchi
Who trusts Joachim Niemeyer overall
- Loic Landrieu
- Xavier Roynard
- Weixiao Gao
- Ce Zhang
- Huichun Ye
- Martin Simonovsky
- Jean-Emmanuel Deschaud
- Liangliang Nan
- Isabel Sargent
Papers from Joachim Niemeyer's perspective
Ordered by how strongly the researchers Joachim Niemeyer 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Contextual classification of lidar data and building object detection in urban areas (2014) — 569 citations