Luca Marchesotti

Computer Vision and Pattern Recognition · 2011–2013

A researcher in the Science corpus: 3 papers; trusts 272 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #4,430 of 21,575 by trust here, #8,831 by citations
• Artificial Intelligence — 10 citations into it
• Media Technology — 10 citations into it
• Cognitive Neuroscience — 6 citations into it; #2,336 of 10,852 by trust here, #4,022 by citations
• Evaluation & Benchmarks — 5 citations into it; #1,438 of 3,147 by trust here, #2,133 by citations

Whom Luca Marchesotti trusts overall

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

1. Florent Perronnin
2. David G. Lowe
3. Robert Tibshirani
4. Thomas Hofmann
5. L. Eon Bottou
6. Andrew Zisserman
7. Christopher R. Dance
8. Geoffrey E. Hinton
9. Andrew Y. Ng
10. Aude Oliva

Who trusts Luca Marchesotti overall

1. Yubin Deng
2. Wenguan Wang
3. Chen Change Loy
4. Shu Kong
5. Ryan Layne
6. Sergey Karayev
7. Florent Perronnin
8. Xin Lu
9. Zhe L. Lin
10. Hossein Talebi

Papers from Luca Marchesotti's perspective

Ordered by how strongly the researchers Luca Marchesotti 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• AVA: A large-scale database for aesthetic visual analysis (2012) — 1,101 citations
• Assessing the aesthetic quality of photographs using generic image descriptors (2011) — 403 citations
• Learning beautiful (and ugly) attributes (2013) — 49 citations