Sebastiano Battiato

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 546 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 120 citations into it; #8,932 of 21,575 by trust here, #10,154 by citations
• Artificial Intelligence — 34 citations into it; #21,354 of 35,345 by trust here, #29,412 by citations
• Aerospace Engineering — 16 citations into it
• Generative Models — 15 citations into it
• Human-Computer Interaction — 12 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Biomedical Engineering — 8 citations into it
• Control and Systems Engineering — 7 citations into it

Whom Sebastiano Battiato trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Ross B. Girshick
7. Diederik P. Kingma
8. Yoshua Bengio
9. Yann LeCun
10. David G. Lowe

Who trusts Sebastiano Battiato overall

1. Antonino Furnari
2. Giovanni Maria Farinella
3. Tushar Nagarajan
4. Dima Damen
5. Ivan Rodin
6. Kristen Grauman
7. Georgios Kapidis

Papers from Sebastiano Battiato's perspective

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

Their papers

• Next-active-object prediction from egocentric videos (2017) — 110 citations
• Egocentric Visitors Localization in Cultural Sites (2019) — 29 citations
• Egocentric Shopping Cart Localization (2018) — 16 citations
• Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation (2018) — 77 citations
• DeepFake Detection by Analyzing Convolutional Traces (2020) — 332 citations