Ferran Marqués

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 6 papers; trusts 890 researchers and is trusted by 4,131 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 185 citations into it; #506 of 21,575 by trust here, #2,122 by citations
• Artificial Intelligence — 50 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Aerospace Engineering — 15 citations into it
• Media Technology — 14 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 5 citations into it

Whom Ferran Marqués trusts overall

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

1. Pablo Arbeláez
2. Ross B. Girshick
3. Jitendra Malik
4. Kaiming He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Pedro F. Felzenszwalb
8. Piotr Doll'ar
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Ferran Marqués overall

1. Jordi Pont-Tuset
2. Jitendra Malik
3. Luc Van Gool
4. Kaiming He
5. Kevis-Kokitsi Maninis
6. Ross B. Girshick
7. Liang-Chieh Chen
8. Bharath Hariharan
9. Pablo Arbeláez
10. Chunhua Shen

Papers from Ferran Marqués's perspective

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

Their papers

• Multiscale Combinatorial Grouping (2014) — 1,185 citations
• Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation (2015) — 601 citations
• Supervised Evaluation of Image Segmentation and Object Proposal Techniques (2016) — 145 citations
• Recurrent Neural Networks for Semantic Instance Segmentation (2017) — 65 citations
• Hierarchical Object Detection with Deep Reinforcement Learning (2016) — 115 citations
• Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation (2017) — 51 citations