Muhammad Hussain

Computer Vision and Pattern Recognition · with Khanam · 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 Muhammad Hussain trusts overall

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

  1. Juan Du
  2. Joseph Redmon

Papers from Muhammad Hussain's perspective

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

Their papers