Gianpaolo Francesco Trotta

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 179 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 23 citations into it
• Human-Computer Interaction — 6 citations into it

Whom Gianpaolo Francesco Trotta trusts overall

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

1. Piotr Doll'ar
2. Navneet Dalal
3. Alex Krizhevsky
4. Pedro F. Felzenszwalb
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Kaiming He
8. Christian Szegedy
9. Paul A. Viola
10. Stéphane Mallat

Papers from Gianpaolo Francesco Trotta's perspective

Ordered by how strongly the researchers Gianpaolo Francesco Trotta 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Histograms of oriented gradients for human detection
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Computer vision and deep learning techniques for pedestrian detection and tracking: A survey (2018) — 489 citations