Aleksei Timofeev

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksei Timofeev trusts overall

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

  1. Yoshua Bengio
  2. Ning Qian
  3. Christian Szegedy

Papers from Aleksei Timofeev's perspective

Ordered by how strongly the researchers Aleksei Timofeev 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 Large Scale Visual Recognition Challenge
  3. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet classification with deep convolutional neural networks
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Gradient-based learning applied to document recognition
  9. Rethinking the Inception Architecture for Computer Vision
  10. Fully convolutional networks for semantic segmentation

Their papers