Dusan Stosic

Computer Vision and Pattern Recognition · 2014–2021

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

Subfields

Whom Dusan Stosic trusts

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

  1. H. Eugene Stanley (in Economics and Econometrics)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Dusan Stosic's perspective

Ordered by how strongly the researchers Dusan Stosic 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Going deeper with convolutions
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. ImageNet classification with deep convolutional neural networks
  6. Microsoft COCO: Common Objects in Context
  7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers