David Masip

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Experimental and Cognitive Psychology — 6 citations into it

Whom David Masip trusts overall

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

1. Bolei Zhou
2. Jia Deng
3. Paul Ekman
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Omkar M. Parkhi
7. Andrew Zisserman
8. Aditya Khosla
9. Tadas Baltrusaitis
10. Antonio Torralba

Who trusts David Masip overall

1. Yash Mehta
2. Nan Xi

Papers from David Masip's perspective

Ordered by how strongly the researchers David Masip 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 Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions

Their papers

• Speeding Up Neural Networks for Large Scale Classification using WTA Hashing (2015) — 10 citations
• Interpreting CNN Models for Apparent Personality Trait Regression (2017) — 72 citations