Armin Bernd Cremers
Computer Vision and Pattern Recognition · 2000–2014
A researcher in the Science corpus: 6 papers; trusts 258 researchers and is trusted by 64 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #3,943 of 21,575 by trust here, #5,287 by citations
- Artificial Intelligence — 20 citations into it; #7,470 of 35,345 by trust here, #8,283 by citations
- Aerospace Engineering — 17 citations into it; #2,048 of 6,421 by trust here, #1,815 by citations
- Probabilistic & Bayesian Methods — 10 citations into it
- Computational Mechanics — 5 citations into it
- Environmental Engineering — 5 citations into it; #1,987 of 5,479 by trust here, #3,356 by citations
- Geology — 5 citations into it; #326 of 687 by trust here, #499 by citations
Whom Armin Bernd Cremers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Piotr Doll'ar
- Pedro F. Felzenszwalb
- Navneet Dalal
- Ross B. Girshick
- Geoffrey E. Hinton
- Andrew E. Johnson
- Alex Krizhevsky
- Kaiming He
- Paul A. Viola
- Andrew Zisserman
Who trusts Armin Bernd Cremers overall
- Sebastian Thrun
- Bo Li
- Michael Montemerlo
- Rodrigo Benenson
- Jens Behley
- Jaco Vermaak
- Shanshan Zhang
- Jan Hendrik Hosang
- Dieter Fox
- Daniel Maturana
Papers from Armin Bernd Cremers's perspective
Ordered by how strongly the researchers Armin Bernd Cremers 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Histograms of oriented gradients for human detection
Their papers
- Informed Haar-Like Features Improve Pedestrian Detection (2014) — 315 citations
- Tracking multiple moving targets with a mobile robot using particle filters and statistical data association (2001) — 456 citations
- Laser-based segment classification using a mixture of bag-of-words (2013) — 100 citations
- Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva (2000) — 622 citations
- People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association Filters (2003) — 512 citations
- Performance of histogram descriptors for the classification of 3D laser range data in urban environments (2012) — 111 citations