Roberto Henschel

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 113 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Henschel trusts overall

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

  1. Geoffrey E. Hinton
  2. Jonathan Ho
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kaiming He
  6. Adam D. Bull
  7. Michael J. Black
  8. Yoshua Bengio
  9. Federica Bogo
  10. Yann LeCun

Who trusts Roberto Henschel overall

  1. Muhammed Kocabas
  2. Kevin Qinghong Lin
  3. Wei Mao
  4. Hongsuk Choi
  5. Michael J. Black
  6. Carl Doersch
  7. Angjoo Kanazawa
  8. Thiemo Alldieck
  9. Gyeongsik Moon
  10. Yonatan Shafir

Papers from Roberto Henschel's perspective

Ordered by how strongly the researchers Roberto Henschel 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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