Pedro Quelhas

Computer Vision and Pattern Recognition · 2005–2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #9,989 of 21,575 by trust here, #11,498 by citations
• Aerospace Engineering — 5 citations into it
• Artificial Intelligence — 5 citations into it

Whom Pedro Quelhas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David G. Lowe
2. Thomas Hofmann
3. Krystian Mikolajczyk
4. Li Fei-Fei
5. Rob Fergus
6. Pietro Perona
7. Cordelia Schmid
8. Sanjiv Kumar
9. Andrew Zisserman
10. Geoffrey E. Hinton

Who trusts Pedro Quelhas overall

1. Anna Bosch
2. Stéphane Clinchant
3. Kristen Grauman
4. Andrew Zisserman
5. David Grangier
6. Svetlana Lazebnik
7. Florent Perronnin
8. Trevor Darrell
9. Cordelia Schmid
10. Yong Jae Lee

Papers from Pedro Quelhas's perspective

Ordered by how strongly the researchers Pedro Quelhas trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Modeling scenes with local descriptors and latent aspects (2005) — 408 citations
• An Objective Comparison of Cell Tracking Algorithms (2017) — 542 citations