Marc Modat

Computer Vision and Pattern Recognition · 2010–2022

A researcher in the Science corpus: 12 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Modat trusts overall

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

  1. Stephen M. Smith
  2. Daniel Rueckert
  3. Mark Jenkinson
  4. Gary E. Christensen
  5. Philippe Thévenaz
  6. Martin Reuter
  7. Sébastien Ourselin
  8. Yoshua Bengio
  9. Stéphane Lafon
  10. Hans J. Johnson

Who trusts Marc Modat overall

  1. Adrian V. Dalca
  2. Zhipeng Ding
  3. Guha Balakrishnan
  4. Mert Rory Sabuncu
  5. Fernando Pérez-García
  6. Juan Eugenio Iglesias
  7. Guillem Pratx
  8. M. Jorge Cardoso
  9. Grant Haskins
  10. András P. Keszei

Papers from Marc Modat's perspective

Ordered by how strongly the researchers Marc Modat 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers