Sagnik Dhar

Computer Vision and Pattern Recognition · 2011–2013

A researcher in the Science corpus: 4 papers; trusts 315 researchers and is trusted by 852 researchers here, as inferred from the citation graph.

Subfields

Whom Sagnik Dhar trusts overall

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

  1. David G. Lowe
  2. Paul A. Viola
  3. Antonio Torralba
  4. Geoffrey E. Hinton
  5. Fatih Murat Porikli
  6. Andrew Zisserman
  7. Alex Krizhevsky
  8. Derek Hoiem
  9. Kaiming He
  10. Jia Deng

Who trusts Sagnik Dhar overall

  1. Andrej Karpathy
  2. C. Lawrence Zitnick
  3. Devi Parikh
  4. Xinlei Chen
  5. Jiasen Lu
  6. Li Fei-Fei
  7. Jiuxiang Gu
  8. Marcus Rohrbach
  9. Richard Socher
  10. Yubin Deng

Papers from Sagnik Dhar's perspective

Ordered by how strongly the researchers Sagnik Dhar 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: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  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