Sara Alexandra Gomes Vicente
Computer Vision and Pattern Recognition · 2008–2015
A researcher in the Science corpus: 5 papers; trusts 578 researchers and is trusted by 921 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 110 citations into it; #1,420 of 21,575 by trust here, #5,507 by citations
- Aerospace Engineering — 31 citations into it; #1,073 of 6,421 by trust here, #2,245 by citations
- 3D Vision & Pose — 21 citations into it
- Computational Mechanics — 19 citations into it
- Computer Graphics and Computer-Aided Design — 15 citations into it
- Geology — 11 citations into it
- Artificial Intelligence — 7 citations into it
- Media Technology — 5 citations into it
Whom Sara Alexandra Gomes Vicente trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carsten Rother
- Vladimir Kolmogorov
- Matthijs C. Dorst
- João Carreira
- Jitendra Malik
- Derek Hoiem
- Yuri Boykov
- Geoffrey E. Hinton
- Volker Blanz
- David G. Lowe
Who trusts Sara Alexandra Gomes Vicente overall
- Shubham Tulsiani
- João Carreira
- Dim P. Papadopoulos
- Jitendra Malik
- Abhishek Kar
- Angjoo Kanazawa
- Vittorio Ferrari
- Liang-Chieh Chen
- Matthieu Guillaumin
- Wenguan Wang
Papers from Sara Alexandra Gomes Vicente's perspective
Ordered by how strongly the researchers Sara Alexandra Gomes Vicente 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
- Gradient-based learning applied to document recognition
- 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
- Going deeper with convolutions
Their papers
- Graph cut based image segmentation with connectivity priors (2008) — 454 citations
- Reconstructing PASCAL VOC (2014) — 191 citations
- Object cosegmentation (2011) — 324 citations
- Balloon Shapes: Reconstructing and Deforming Objects with Volume from Images (2013) — 43 citations
- Lifting Object Detection Datasets into 3D (2015) — 18 citations