Vijay Ramaseshan Chandrasekhar

Computer Vision and Pattern Recognition · arXiv.org · 2008–2018

A researcher in the Science corpus: 11 papers; trusts 333 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Vijay Ramaseshan Chandrasekhar trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. David G. Lowe
  4. Yann LeCun
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Kaiming He
  8. Ilya Sutskever
  9. L. Eon Bottou
  10. Andrew Zisserman

Who trusts Vijay Ramaseshan Chandrasekhar overall

  1. Daniel Wagner
  2. Guansong Pang
  3. Arsha Nagrani
  4. Joon Son Chung
  5. Andrew Zisserman

Papers from Vijay Ramaseshan Chandrasekhar's perspective

Ordered by how strongly the researchers Vijay Ramaseshan Chandrasekhar 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images

Their papers