Enrique Dunn
Computer Vision and Pattern Recognition · 2010–2017
A researcher in the Science corpus: 5 papers; trusts 775 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 131 citations into it; #8,253 of 21,575 by trust here, #12,689 by citations
- Aerospace Engineering — 58 citations into it; #1,553 of 6,421 by trust here, #2,921 by citations
- Media Technology — 18 citations into it
- Artificial Intelligence — 15 citations into it
- Information Retrieval & Search — 11 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it
- Model Architectures — 5 citations into it
Whom Enrique Dunn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Andrew Zisserman
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Kaiming He
- Cordelia Schmid
- Josef Sivic
- Herv'e J'egou
- Ross B. Girshick
Who trusts Enrique Dunn overall
- Eric Müller-Budack
- Johannes L. Schönberger
- Giorgos Tolias
- Xingyu Jiang
- Jiayi Ma
- Hyo Jin Kim
- Kader Pustu-Iren
- Pablo Fernández Alcantarilla
- Jiaming Sun
- Torsten Sattler
Papers from Enrique Dunn's perspective
Ordered by how strongly the researchers Enrique Dunn 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Comparative Evaluation of Binary Features (2012) — 370 citations
- Learned Contextual Feature Reweighting for Image Geo-Localization (2017) — 247 citations
- Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD (2015) — 60 citations
- Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset) (2015) — 233 citations
- Building Rome on a Cloudless Day (2010) — 707 citations