Oleksandr Maksymets

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 154 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Oleksandr Maksymets trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Angel X. Chang
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Jimmy Ba

Who trusts Oleksandr Maksymets overall

  1. Erik Wijmans
  2. Dhruv Batra
  3. Devendra Singh Chaplot
  4. Santhosh K. Ramakrishnan
  5. Arjun Majumdar
  6. Luca Weihs
  7. Naoki Yokoyama
  8. S. Gadre
  9. Abhishek Kadian
  10. Xin Ye

Papers from Oleksandr Maksymets's perspective

Ordered by how strongly the researchers Oleksandr Maksymets 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers