Joachim Weickert

Computer Vision and Pattern Recognition · 2000–2004

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 2,595 researchers here, as inferred from the citation graph.

Subfields

Whom Joachim Weickert trusts overall

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

  1. Luis Álvarez
  2. Takeo Kanade
  3. Jan J. Koenderink
  4. Christoph Schnörr
  5. Joseph Weber
  6. Stanley J. Osher
  7. Javier Sánchez Pérez
  8. Mario Bertero
  9. Ron Kimmel
  10. Jitendra Malik

Who trusts Joachim Weickert overall

  1. Thomas Brox
  2. Deqing Sun
  3. Ce Liu
  4. Stefan Roth
  5. Daniel Cremers
  6. Jitendra Malik
  7. Jun-Yan Zhu
  8. Pablo Fernández Alcantarilla
  9. Victor S. Lempitsky
  10. Tianshu Liu

Papers from Joachim Weickert's perspective

Ordered by how strongly the researchers Joachim Weickert 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. An Iterative Image Registration Technique with an Application to Stereo Vision
  4. Determining Optical Flow
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers