Muhammad Asim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Asim trusts overall

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

  1. Kostadin Dabov
  2. Nathan Halko
  3. Zhou Wang
  4. Diederik P. Kingma
  5. Alessandro Foi
  6. A. Bovik
  7. Per-Gunnar Martinsson
  8. Geoffrey E. Hinton
  9. Hamid R. Sheikh
  10. Joel A. Tropp

Who trusts Muhammad Asim overall

  1. Hyungjin Chung
  2. Ajil Jalal
  3. Jong Chul Ye
  4. Giannis Daras
  5. Marius Arvinte

Papers from Muhammad Asim's perspective

Ordered by how strongly the researchers Muhammad Asim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers