Jean Bégaint

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jean Bégaint trusts overall

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

  1. David C. Minnen
  2. Zhou Wang
  3. Athanassios N. Skodras
  4. Gary J. Sullivan
  5. Zhengxue Cheng
  6. Tianfan Xue
  7. Eero P. Simoncelli
  8. Saurabh Singh
  9. Martín Abadi
  10. Charilaos A. Christopoulos

Who trusts Jean Bégaint overall

  1. Jiahao Li
  2. Emilien Dupont
  3. Bin Li

Papers from Jean Bégaint's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. ImageNet classification with deep convolutional neural networks
  5. Multiscale structural similarity for image quality assessment
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers