Subhabrata Bhattacharya

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 521 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Subhabrata Bhattacharya trusts overall

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

  1. David G. Lowe
  2. Cordelia Schmid
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. Ivan Laptev
  6. Alex Krizhevsky
  7. Kaiming He
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Subhabrata Bhattacharya overall

  1. Yubin Deng
  2. Wei Luo
  3. Tam V. Nguyen
  4. Xiaoou Tang
  5. Xiaogang Wang
  6. Chen Change Loy
  7. Qi Zhao

Papers from Subhabrata Bhattacharya's perspective

Ordered by how strongly the researchers Subhabrata Bhattacharya 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. 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