Erik Blasch

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2008–2019

A researcher in the Science corpus: 7 papers; trusts 258 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Erik Blasch trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Shaoqing Ren
  6. Karen Simonyan
  7. Yann LeCun
  8. Yoshua Bengio
  9. Zhou Wang
  10. Andrew Zisserman

Who trusts Erik Blasch overall

  1. Yu Liu
  2. Martin Danelljan
  3. Hamed Kiani Galoogahi
  4. Goutam Bhat
  5. Tianzhu Zhang
  6. Matthias Mueller
  7. Matthias Müller
  8. Zhenhua Feng
  9. Ming-Hsuan Yang
  10. Matej Kristan

Papers from Erik Blasch's perspective

Ordered by how strongly the researchers Erik Blasch 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers