Sourav Bhattacharya

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sourav Bhattacharya trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Yann LeCun
  6. Radford M. Neal
  7. Yuval Netzer
  8. Li Deng
  9. Jian Xue

Who trusts Sourav Bhattacharya overall

  1. Young Geun Kim
  2. Carole-Jean Wu
  3. Desheng Zhang
  4. Shree Krishna Sharma
  5. Shuochao Yao
  6. Md Maruf Hossain Shuvo
  7. M. Mohammadi
  8. M. Alam
  9. Biyi Fang
  10. Huynh Nguyen Loc

Papers from Sourav Bhattacharya's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers