Rumen Hristov

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rumen Hristov trusts overall

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

  1. Ross B. Girshick

Papers from Rumen Hristov's perspective

Ordered by how strongly the researchers Rumen Hristov 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. Fast R-CNN
  7. Gradient-based learning applied to document recognition
  8. Learning Spatiotemporal Features with 3D Convolutional Networks
  9. Generating Videos with Scene Dynamics
  10. Long Short-Term Memory

Their papers