Sayanan Sivaraman

Computer Vision and Pattern Recognition · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 75 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Sayanan Sivaraman trusts overall

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

  1. Yoav Freund
  2. Paul A. Viola
  3. David G. Lowe
  4. Pedro F. Felzenszwalb
  5. Christopher Evans
  6. Mohan Manubhai Trivedi
  7. Navneet Dalal
  8. Robert E. Schapire
  9. Corinna Cortes
  10. Ross B. Girshick

Who trusts Sayanan Sivaraman overall

  1. Mengwen He
  2. Azim Eskandarian
  3. Amir Mukhtar
  4. Hao Zhu
  5. Mohan Manubhai Trivedi
  6. Eijiro Takeuchi
  7. Chaoxian Wu
  8. Likun Xia
  9. Yoshiki Ninomiya
  10. Ka-Veng Yuen

Papers from Sayanan Sivaraman's perspective

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

Their papers