Navid Alemi Koohbanani

Computer Vision and Pattern Recognition · 2018–2020

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 Navid Alemi Koohbanani trusts overall

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

  1. Kaiming He

Papers from Navid Alemi Koohbanani's perspective

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

  1. Going deeper with convolutions
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Microsoft COCO: Common Objects in Context
  6. Fully convolutional networks for semantic segmentation
  7. Densely Connected Convolutional Networks
  8. Mask R-CNN
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. Aggregated Residual Transformations for Deep Neural Networks

Their papers