Marco Bevilacqua

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 107 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Bevilacqua trusts overall

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

  1. Hong Chang
  2. Sam T. Roweis
  3. Daniel D. Lee
  4. Gilad Freedman
  5. Daniel Glasner
  6. Sina Farsiu
  7. Dit-Yan Yeung
  8. Lawrence K. Saul
  9. Raanan Fattal
  10. Yimin Xiong

Who trusts Marco Bevilacqua overall

  1. Saeed Anwar
  2. Chao Dong
  3. Yulun Zhang
  4. Radu Timofte
  5. Kai Zhang
  6. Ding Liu
  7. Yong Guo
  8. Wei Han
  9. Zheng Hui
  10. Namhyuk Ahn

Papers from Marco Bevilacqua's perspective

Ordered by how strongly the researchers Marco 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers