Marco Fornoni

Computer Vision and Pattern Recognition · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Fornoni trusts overall

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

  1. Tsung-Yi Lin
  2. Kaiming He

Papers from Marco Fornoni's perspective

Ordered by how strongly the researchers Marco Fornoni trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Microsoft COCO: Common Objects in Context
  5. Rethinking the Inception Architecture for Computer Vision
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers