Laurent Amsaleg
Computer Vision and Pattern Recognition · 2009–2017
A researcher in the Science corpus: 5 papers; trusts 242 researchers and is trusted by 431 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 52 citations into it; #2,018 of 21,575 by trust here, #6,873 by citations
- Information Retrieval & Search — 21 citations into it; #248 of 1,022 by trust here, #448 by citations
- Aerospace Engineering — 14 citations into it; #1,771 of 6,421 by trust here, #1,703 by citations
- Artificial Intelligence — 14 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Media Technology — 6 citations into it
Whom Laurent Amsaleg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Herv'e J'egou
- Alex Krizhevsky
- David G. Lowe
- Andrew Zisserman
- Karen Simonyan
- Geoffrey E. Hinton
- Christian Szegedy
- Cordelia Schmid
- Antonio Torralba
- Yann LeCun
Who trusts Laurent Amsaleg overall
- David Stutz
- Herv'e J'egou
- Xingjun Ma
- Artem Babenko
- Matthijs Douze
- Jingdong Wang
- Kaiming He
- Carl-Johann Simon-Gabriel
- Matthias Hein
- Bernt Schiele
Papers from Laurent Amsaleg's perspective
Ordered by how strongly the researchers Laurent Amsaleg 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Evaluation of GIST descriptors for web-scale image search (2009) — 460 citations
- Searching in one billion vectors: Re-rank with source coding (2011) — 384 citations
- Locality sensitive hashing: A comparison of hash function types and querying mechanisms (2010) — 314 citations
- The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality (2017) — 62 citations
- Estimating Local Intrinsic Dimensionality (2015) — 168 citations