Tobias Plötz

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 457 researchers and is trusted by 120 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Plötz trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Stefan Roth
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Graves
  7. Alex Krizhevsky
  8. Sergey Ioffe
  9. Alessandro Foi
  10. Yann LeCun

Who trusts Tobias Plötz overall

  1. Syed Waqas Zamir
  2. Kai Zhang
  3. Aditya Arora
  4. Avishek Joey Bose
  5. Haokui Zhang
  6. Ronnachai Jaroensri
  7. Meng Chang
  8. Salman Hameed Khan
  9. Saeed Anwar
  10. Zongsheng Yue

Papers from Tobias Plötz's perspective

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

Their papers