M. Sofka

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom M. Sofka trusts overall

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

  1. Peter Meer
  2. Xiaoyi Jiang
  3. Cemil Kirbas
  4. Joes Staal
  5. Meindert Niemeijer
  6. Scott Konishi
  7. Conor Heneghan
  8. Jean-Claude Klein
  9. Shigeo Abe
  10. Daniel Mojon

Who trusts M. Sofka overall

  1. Amos Sironi
  2. Carmen Alina Lupascu
  3. Attila Budai
  4. Xinge You
  5. Vincent Lepetit
  6. Rüdiger Bock
  7. Domenico Tegolo
  8. Pascal Fua
  9. Emanuele Trucco
  10. Muhammad Moazam Fraz

Papers from M. Sofka's perspective

Ordered by how strongly the researchers M. Sofka 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. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers