Marius Muja
Computer Vision and Pattern Recognition · 2009–2014
A researcher in the Science corpus: 5 papers; trusts 606 researchers and is trusted by 2,443 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 65 citations into it; #782 of 21,575 by trust here, #3,222 by citations
- Aerospace Engineering — 20 citations into it
- Artificial Intelligence — 20 citations into it; #1,587 of 35,345 by trust here, #5,834 by citations
- Information Retrieval & Search — 15 citations into it; #32 of 1,022 by trust here, #114 by citations
- Media Technology — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Signal Processing — 5 citations into it; #98 of 7,572 by trust here, #400 by citations
Whom Marius Muja trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Antonio Torralba
- David Nistér
- Andrew Zisserman
- Josef Sivic
- Rob Fergus
- Geoffrey E. Hinton
- Brian Kulis
- Jerome H. Friedman
- James Hays
Who trusts Marius Muja overall
- Jingdong Wang
- Herv'e J'egou
- Torsten Sattler
- Yannis Kalantidis
- Amir Zamir
- Andrea Vedaldi
- Vadim Kantorov
- Mark Joseph Cummins
- Cordelia Schmid
- Matthijs Douze
Papers from Marius Muja's perspective
Ordered by how strongly the researchers Marius Muja 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration (2009) — 3,299 citations
- Scalable Nearest Neighbor Algorithms for High Dimensional Data (2014) — 1,508 citations
- Multiple Viewpoint Recognition and Localization (2010) — 32 citations
- Fast Matching of Binary Features (2012) — 328 citations
- Autonomous door opening and plugging in with a personal robot (2010) — 203 citations