Abhishek Kadian

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 7 papers; trusts 288 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Abhishek Kadian trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Sepp Hochreiter
  7. Yoshua Bengio
  8. John Schulman
  9. Yann LeCun
  10. Alexey Dosovitskiy

Who trusts Abhishek Kadian overall

  1. Erik Wijmans
  2. Dhruv Batra
  3. Naoki Yokoyama
  4. Jiafei Duan
  5. Luca Weihs
  6. S. Gadre
  7. Santhosh K. Ramakrishnan
  8. Xin Ye
  9. Devendra Singh Chaplot
  10. Matt Deitke

Papers from Abhishek Kadian's perspective

Ordered by how strongly the researchers Abhishek Kadian 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. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers