Akshay Asthana

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Akshay Asthana trusts overall

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

  1. Iain Matthews
  2. John G. Proakis
  3. David Cristinacce
  4. Xuehan Xiong
  5. Jason M. Saragih
  6. Xudong Cao
  7. Peter N. Belhumeur
  8. Simon Baker
  9. David G. Lowe
  10. Christos Sagonas

Who trusts Akshay Asthana overall

  1. Tadas Baltrusaitis
  2. Yandong Wen
  3. Peter Robinson
  4. Jun-Cheng Chen
  5. Louis-philippe Morency
  6. T. Soukupová
  7. Stefanos P. Zafeiriou
  8. Zhifeng Li
  9. James Thewlis
  10. Marek Kowalski

Papers from Akshay Asthana's perspective

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

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

Their papers