Sarah Adel Bargal

Computer Vision and Pattern Recognition · with Abdelfattah · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Adel Bargal trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Antonio Torralba (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Trevor Darrell (in Computer Vision and Pattern Recognition)
  7. X. Zhang (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Alexei A. Efros (in Computer Vision and Pattern Recognition)

Papers from Sarah Adel Bargal's perspective

Ordered by how strongly the researchers Sarah Adel Bargal 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. Microsoft COCO: Common Objects in Context
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  5. Indoor Segmentation and Support Inference from RGBD Images
  6. The Cityscapes Dataset for Semantic Urban Scene Understanding
  7. Pyramid Scene Parsing Network
  8. Rethinking Atrous Convolution for Semantic Image Segmentation
  9. Scene Parsing through ADE20K Dataset
  10. The Role of Context for Object Detection and Semantic Segmentation in the Wild

Their papers