Nicola Luminari

2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Nicola Luminari trusts overall

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

  1. Umberto Michieli
  2. Abhishek Chaurasia

Papers from Nicola Luminari's perspective

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

  1. Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
  2. PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
  3. An incremental-learning neural network for the classification of remote-sensing images
  4. Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
  5. The ISPRS benchmark on urban object classification and 3D building reconstruction
  6. LinkNet: Exploiting encoder representations for efficient semantic segmentation (Visual Communications and Image Processing)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet classification with deep convolutional neural networks
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers