Ashnil Kumar

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 4 papers; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ashnil Kumar trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Radford M. Neal
  4. Kaiming He
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Andrea Vedaldi
  8. Jia Deng
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Ashnil Kumar overall

  1. Yu-An Chung
  2. Maciej A. Mazurowski
  3. Lei Bi
  4. Zhun Fan
  5. Wei-Hung Weng
  6. Xuxin Chen
  7. Mengying Shu
  8. Arvid Lundervold
  9. Ryuji Hamamoto
  10. Jinman Kim

Papers from Ashnil Kumar's perspective

Ordered by how strongly the researchers Ashnil Kumar 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers