Rahima Khanam

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rahima Khanam trusts overall

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

  1. Juan Du
  2. Joseph Redmon
  3. Ross B. Girshick
  4. Santosh Kumar Divvala
  5. Ali Farhadi
  6. Chien-Yao Wang
  7. Zhong-Qiu Zhao

Papers from Rahima Khanam's perspective

Ordered by how strongly the researchers Rahima Khanam 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. Going deeper with convolutions
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers