Orazio Gallo

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 291 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 130 citations into it; #9,707 of 21,575 by trust here, #4,438 by citations
• Computer Graphics and Computer-Aided Design — 44 citations into it
• Media Technology — 26 citations into it; #1,932 of 3,621 by trust here, #839 by citations
• Artificial Intelligence — 22 citations into it
• Model Architectures — 14 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Orazio Gallo trusts overall

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

1. Zhou Wang
2. Kaiming He
3. Geoffrey E. Hinton
4. Lei Zhang
5. Alex Krizhevsky
6. Yann LeCun
7. A. Bovik
8. Ilya Sutskever
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Orazio Gallo overall

1. Chongyi Li
2. Yotam Nitzan
3. Mathijs Pieters
4. Yochai Blau
5. Reza Mahjourian
6. Jichang Guo
7. Clément Godard
8. Xuaner Cecilia Zhang
9. Michael T. McCann
10. Yuki Endo

Papers from Orazio Gallo's perspective

Ordered by how strongly the researchers Orazio Gallo 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Efficient Geometry-aware 3D Generative Adversarial Networks (2021) — 1,520 citations
• Loss Functions for Image Restoration With Neural Networks (2017) — 2,469 citations
• Pixel-Adaptive Convolutional Neural Networks (2019) — 337 citations
• Loss Functions for Neural Networks for Image Processing (2015) — 314 citations