Talha Qaiser

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Talha Qaiser trusts overall

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

  1. Kaiming He

Papers from Talha Qaiser's perspective

Ordered by how strongly the researchers Talha Qaiser 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. Fully convolutional networks for semantic segmentation

Their papers