Rahul Nijhawan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Nijhawan trusts

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

  1. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Rahul Nijhawan's perspective

Ordered by how strongly the researchers Rahul Nijhawan 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. Densely Connected Convolutional Networks
  3. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  4. Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.
  5. Image analysis and machine learning for detecting malaria (Translational Research: The Journal of Laboratory and Clinical Medicine)
  6. Automated image processing method for the diagnosis and classification of malaria on thin blood smears (Medical and Biological Engineering and Computing)
  7. Thoracic Disease Identification and Localization with Limited Supervision (2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  8. Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers