Joseph V. Hajnal

Computer Vision and Pattern Recognition · 2006–2018

A researcher in the Science corpus: 14 papers; trusts 79 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph V. Hajnal trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Radford M. Neal
  4. Geoffrey E. Hinton
  5. Stephen M. Smith
  6. X. Zhang
  7. Shaoqing Ren
  8. David E. Rumelhart
  9. Christian Szegedy
  10. Daniel Rueckert

Who trusts Joseph V. Hajnal overall

  1. Juan Eugenio Iglesias
  2. Mert Rory Sabuncu
  3. Daniel Rueckert
  4. Antonios Makropoulos
  5. Phi Vu Tran
  6. Pierrick Coupé
  7. Arvid Lundervold
  8. Hemant Kumar Aggarwal
  9. Hongzhi Wang
  10. Mariano Cabezas

Papers from Joseph V. Hajnal's perspective

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

Their papers