Marvin Ritter

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 9 papers; trusts 503 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Marvin Ritter trusts overall

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

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

Who trusts Marvin Ritter overall

  1. Jeff Donahue
  2. Xiaohua Zhai
  3. Ngoc-Trung Tran
  4. Jinwoo Shin
  5. Sangwoo Mo
  6. Alexander Kolesnikov
  7. Eduardo Fonseca
  8. Joan Puigcerver
  9. Hankook Lee
  10. Karen Simonyan

Papers from Marvin Ritter's perspective

Ordered by how strongly the researchers Marvin Ritter trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers