Jens Kleesiek

Computer Vision and Pattern Recognition · with Bendszus · 2016

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

Subfields

Whom Jens Kleesiek trusts overall

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

  1. Torsten Rohlfing
  2. Xavier Glorot
  3. Simon Keith Warfield
  4. Mark Jenkinson
  5. Juan Eugenio Iglesias
  6. Christoph Sommer
  7. Yoshua Bengio
  8. Stefan Klein
  9. David W. Shattuck
  10. Stephen M. Smith

Who trusts Jens Kleesiek overall

  1. Arvid Lundervold
  2. Jaeyong Kang
  3. Reza Azad
  4. Mohammad Hesam Hesamian
  5. Zeynettin Akkus
  6. Zhongyi Han
  7. José Bernal
  8. Kerstin Hammernik
  9. S. Kevin Zhou

Papers from Jens Kleesiek's perspective

Ordered by how strongly the researchers Jens Kleesiek 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Understanding the difficulty of training deep feedforward neural networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database

Their papers