Manu Mathew

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Manu Mathew trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Piotr Doll'ar

Papers from Manu Mathew's perspective

Ordered by how strongly the researchers Manu Mathew 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. Microsoft COCO: Common Objects in Context
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers