Abir Das

Computer Vision and Pattern Recognition · with Saenko · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 818 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Abir Das trusts overall

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

  1. Karen Simonyan
  2. Ross B. Girshick
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Abir Das overall

  1. Sarah Adel Bargal
  2. Chen Zhao
  3. Alvin Wan
  4. Gesina Schwalbe
  5. Arun Das
  6. Fabian Caba Heilbron
  7. Wojciech Samek
  8. Jonghwan Mun
  9. Ian Covert
  10. Ruth C. Fong

Papers from Abir Das's perspective

Ordered by how strongly the researchers Abir Das 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers