Francesco Marra
Computer Vision and Pattern Recognition · 2010–2022
A researcher in the Science corpus: 8 papers; trusts 219 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 78 citations into it; #6,880 of 21,575 by trust here, #7,249 by citations
- Generative Models — 37 citations into it; #1,366 of 1,956 by trust here, #1,382 by citations
- Global and Planetary Change — 25 citations into it
- Artificial Intelligence — 22 citations into it
- Plant Science — 12 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
- Signal Processing — 8 citations into it
- Model Architectures — 6 citations into it
Whom Francesco Marra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tero Karras
- Geoffrey E. Hinton
- Diederik P. Kingma
- Davide Cozzolino
- Christian Szegedy
- Alex Krizhevsky
- Kaiming He
- Jessica J. Fridrich
- Yoshua Bengio
- Yann LeCun
Who trusts Francesco Marra overall
- Luisa Verdoliva
- Michael Albright
- Ning Yu
- Joel Cameron Frank
- Diego Gragnaniello
- Nils Hulzebosch
- Xu Zhang
- Scott McCloskey
- Rubén Tolosana
- Yabin Wang
Papers from Francesco Marra's perspective
Ordered by how strongly the researchers Francesco Marra trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- Do GANs Leave Artificial Fingerprints? (2018) — 397 citations
- Detection of GAN-Generated Fake Images over Social Networks (2018) — 381 citations
- Incremental learning for the detection and classification of GAN-generated images (2019) — 160 citations
- Carbon-phenolic ablative materials for re-entry space vehicles: Manufacturing and properties (2010) — 247 citations
- Detection of AI-Generated Synthetic Faces (2022) — 28 citations
- A simplified MEV formulation to model extremes emerging from multiple nonstationary underlying processes (2019) — 95 citations
- Metastatistical Extreme Value analysis of hourly rainfall from short records: Estimation of high quantiles and impact of measurement errors (2018) — 87 citations
- Effects of different irrigation regimes on a super-high-density olive grove cv. “Arbequina”: vegetative growth, productivity and polyphenol content of the oil (2016) — 63 citations