Mario Valerio Giuffrida

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 206 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #10,461 of 21,575 by trust here, #12,689 by citations
• Plant Science — 17 citations into it; #2,713 of 8,232 by trust here, #6,173 by citations
• Artificial Intelligence — 15 citations into it; #31,435 of 35,345 by trust here, #27,551 by citations
• Computational Biology & Bioinformatics — 7 citations into it
• Model Architectures — 7 citations into it
• Ecology — 6 citations into it
• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Mario Valerio Giuffrida trusts overall

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

1. Massimo Minervini
2. Corinna Cortes
3. Victor S. Lempitsky
4. Geoffrey E. Hinton
5. Adam Coates
6. Andrew Zisserman
7. Charles Peter Elkan
8. Matthijs C. Dorst
9. Jean-Michel Pape
10. Andrea Vedaldi

Who trusts Mario Valerio Giuffrida overall

1. Massimo Minervini
2. Hanno Scharr
3. Sotirios A. Tsaftaris
4. Andreas Fischbach
5. Jordan R. Ubbens
6. Bernardino Romera-Paredes
7. Mengye Ren

Papers from Mario Valerio Giuffrida's perspective

Ordered by how strongly the researchers Mario Valerio Giuffrida 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• Multimodal MR Synthesis via Modality-Invariant Latent Representation (2017) — 347 citations
• An interactive tool for semi-automated leaf annotation (2015) — 20 citations
• Learning to Count Leaves in Rosette Plants (2015) — 110 citations