Sehrish Qummar

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sehrish Qummar trusts overall

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

  1. David G. Lowe
  2. François Chollet
  3. Timothy Dozat
  4. Andrew P. Bradley
  5. Kaiming He
  6. Navneet Dalal
  7. Christian Szegedy
  8. James A. Hanley
  9. Rishab Gargeya
  10. Gao Huang

Who trusts Sehrish Qummar overall

  1. Yongquan Yang

Papers from Sehrish Qummar's perspective

Ordered by how strongly the researchers Sehrish Qummar 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Histograms of oriented gradients for human detection

Their papers