Kuldeep Purohit

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kuldeep Purohit trusts overall

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

  1. Diederik P. Kingma
  2. Orest Kupyn
  3. Ashish Vaswani
  4. Geoffrey E. Hinton
  5. Jimmy Ba
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Li Xu

Who trusts Kuldeep Purohit overall

  1. Chong Mou
  2. Fu-Jen Tsai
  3. Jay Whang
  4. Zhengzhong Tu
  5. Kaihao Zhang

Papers from Kuldeep Purohit's perspective

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

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