Timo Bolkart

Computer Vision and Pattern Recognition · 2012–2022

A researcher in the Science corpus: 11 papers; trusts 811 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Whom Timo Bolkart trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Volker Blanz
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Thomas Vetter
  7. Yoshua Bengio
  8. Yann LeCun
  9. Andrew Zisserman
  10. Karen Simonyan

Who trusts Timo Bolkart overall

  1. Michael J. Black
  2. Kevin Qinghong Lin
  3. Yufeng Zheng
  4. Soubhik Sanyal
  5. Anurag Ranjan
  6. James Booth
  7. Yao Feng
  8. Shangzhe Wu
  9. Radek Daněček
  10. Haiwen Feng

Papers from Timo Bolkart's perspective

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

Their papers