Roberto Caldelli

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #15,067 of 21,575 by trust here, #15,529 by citations

Whom Roberto Caldelli trusts overall

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

1. David G. Lowe
2. Karen Simonyan
3. Jessica J. Fridrich
4. Kaiming He

Who trusts Roberto Caldelli overall

1. Yisroel Mirsky
2. Mingu Kang

Papers from Roberto Caldelli's perspective

Ordered by how strongly the researchers Roberto Caldelli trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deepfake Video Detection through Optical Flow Based CNN (2019) — 372 citations
• Copy-move forgery detection and localization by means of robust clustering with J-Linkage (2013) — 299 citations