Robin Strudel

Computer Vision and Pattern Recognition · 2021–2025

A researcher in the Science corpus: 5 papers; trusts 387 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Robin Strudel trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Liang-Chieh Chen
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Robin Strudel overall

  1. Qihang Yu
  2. Timo Lüddecke
  3. Xueyan Zou
  4. Manoj Kumar
  5. Bowen Cheng
  6. Mostafa Dehghani
  7. Ziqi Zhou
  8. Qin Liu
  9. Tomer Amit
  10. Ning Zhang

Papers from Robin Strudel's perspective

Ordered by how strongly the researchers Robin Strudel 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. Attention is All you Need (Neural Information Processing Systems)
  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