Emanuele Palazzolo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emanuele Palazzolo trusts overall

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

  1. Martin Rünz
  2. Jürgen Sturm
  3. Brian Curless
  4. Lourdes de Agapito
  5. Frank Steinbrücker
  6. Pedro H. O. Pinheiro
  7. Berta Bescós
  8. Michael Zollhöfer
  9. Marc Levoy
  10. Tsung-Yi Lin

Who trusts Emanuele Palazzolo overall

  1. Yu-Shiang Wong
  2. Junyi Zhang

Papers from Emanuele Palazzolo's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Mask R-CNN

Their papers