Oleksandr Bailo

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oleksandr Bailo trusts overall

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

  1. Ross B. Girshick

Papers from Oleksandr Bailo's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. Histograms of oriented gradients for human detection
  4. Microsoft COCO: Common Objects in Context
  5. Fully convolutional networks for semantic segmentation
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  8. ImageNet classification with deep convolutional neural networks
  9. Fast R-CNN
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers