Giovanni Poggi

Computer Vision and Pattern Recognition · 2000–2022

A researcher in the Science corpus: 9 papers; trusts 366 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 123 citations into it; #3,653 of 21,575 by trust here, #4,469 by citations
• Artificial Intelligence — 31 citations into it; #10,563 of 35,345 by trust here, #17,412 by citations
• Media Technology — 31 citations into it; #430 of 3,621 by trust here, #620 by citations
• Model Architectures — 11 citations into it
• Optimization & Training — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Aerospace Engineering — 7 citations into it
• Biophysics — 6 citations into it; #565 of 1,196 by trust here, #1,076 by citations

Whom Giovanni Poggi trusts overall

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

1. Jessica J. Fridrich
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. David G. Lowe
8. Kaiming He
9. Jimmy Ba
10. Ross B. Girshick

Who trusts Giovanni Poggi overall

1. Luisa Verdoliva
2. Davide Cozzolino
3. Yue Wu
4. Peng Zhou
5. Huy Hoang Le Nguyen
6. Andreas Rössler
7. Zhenwei Shi
8. Jamie Sherrah
9. Xuefeng Hu
10. Patrick Helber

Papers from Giovanni Poggi's perspective

Ordered by how strongly the researchers Giovanni Poggi 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Do GANs Leave Artificial Fingerprints? (2018) — 397 citations
• Splicebuster: A new blind image splicing detector (2015) — 267 citations
• Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection (2017) — 366 citations
• On The Detection of Synthetic Images Generated by Diffusion Models (2022) — 423 citations
• SAR image despeckling through convolutional neural networks (2017) — 297 citations
• Autoencoder with recurrent neural networks for video forgery detection (2017) — 102 citations
• Efficient Dense-Field Copy–Move Forgery Detection (2015) — 404 citations
• Land Use Classification in Remote Sensing Images by Convolutional Neural Networks (2015) — 632 citations
• Compression of multispectral images by three-dimensional SPIHT algorithm (2000) — 315 citations