Luca Caltagirone

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 130 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #12,078 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 16 citations into it
• Automotive Engineering — 7 citations into it; #987 of 3,081 by trust here, #1,728 by citations
• Evaluation & Benchmarks — 6 citations into it
• Model Architectures — 6 citations into it
• Aerospace Engineering — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Luca Caltagirone trusts overall

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

1. Fisher Yu
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. Andreas Geiger
8. Ross B. Girshick
9. Djork-Arné Clevert
10. Kaiming He

Who trusts Luca Caltagirone overall

1. Zhangjing Wang
2. Mauro Bellone
3. Yu Wu
4. Felix Nobis
5. Qingqing Niu
6. Lennart Svensson
7. Di Feng
8. Mattias Wahde
9. Maximilian Geisslinger

Papers from Luca Caltagirone's perspective

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

• LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks (2018) — 345 citations
• Fast LIDAR-based road detection using fully convolutional neural networks (2017) — 213 citations
• LIDAR-based driving path generation using fully convolutional neural networks (2017) — 64 citations