Mubbasir Kapadia

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 366 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mubbasir Kapadia trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Yann LeCun
  9. Shaoqing Ren
  10. Karen Simonyan

Who trusts Mubbasir Kapadia overall

  1. Long Zhao
  2. Xi Peng

Papers from Mubbasir Kapadia's perspective

Ordered by how strongly the researchers Mubbasir Kapadia trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers