Shashank Shekhar

Computer Vision and Pattern Recognition · with Chakraborty · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shashank Shekhar trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Sepp Hochreiter
  4. Andrea Vedaldi
  5. J. Urgen Schmidhuber
  6. Ankush Gupta
  7. Baoguang Shi
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Shashank Shekhar overall

  1. Ronghang Hu
  2. Jinze Bai
  3. Yanwei Li
  4. Minesh Mathew
  5. Wei Han
  6. Bo Li
  7. Haotian Liu
  8. Oleksii Sidorov
  9. Ali Furkan Biten
  10. Fen Liu

Papers from Shashank Shekhar's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers