Malika Meghjani

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Malika Meghjani trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick

Papers from Malika Meghjani's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Object Detection with Discriminatively Trained Part Based Models
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Caffe: Convolutional Architecture for Fast Feature Embedding
  9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  10. Long Short-Term Memory

Their papers