Yasir Latif

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yasir Latif trusts overall

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

  1. Ross B. Girshick
  2. Richard A. Newcombe
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Evan Shelhamer
  7. Yann LeCun
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. David G. Lowe

Who trusts Yasir Latif overall

  1. Luca Carlone
  2. Lei Tai

Papers from Yasir Latif's perspective

Ordered by how strongly the researchers Yasir Latif 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. ImageNet Large Scale Visual Recognition Challenge
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Microsoft COCO: Common Objects in Context
  10. Long Short-Term Memory

Their papers