Giuseppe Serra

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 612 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 146 citations into it; #9,787 of 21,575 by trust here, #11,498 by citations
• Artificial Intelligence — 44 citations into it
• Cognitive Neuroscience — 24 citations into it; #4,330 of 10,852 by trust here, #5,844 by citations
• Evaluation & Benchmarks — 19 citations into it
• Model Architectures — 19 citations into it
• Multimodal Learning — 18 citations into it
• Sensory Systems — 17 citations into it; #296 of 760 by trust here, #502 by citations
• Natural Language Processing — 15 citations into it

Whom Giuseppe Serra trusts overall

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

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

Who trusts Giuseppe Serra overall

1. Marcella Cornia
2. Lorenzo Baraldi
3. Tushar Nagarajan
4. Shan Li

Papers from Giuseppe Serra's perspective

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

Their papers

• Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model (2016) — 608 citations
• A deep multi-level network for saliency prediction (2016) — 375 citations
• Data augmentation techniques for the Video Question Answering task (2020) — 7 citations
• Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention (2017) — 100 citations
• Copy-move forgery detection and localization by means of robust clustering with J-Linkage (2013) — 299 citations