Vitoantonio Bevilacqua

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 Vitoantonio Bevilacqua 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 Vitoantonio Bevilacqua's perspective

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

Their papers

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