Sanchit Singh

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Sanchit Singh trusts overall

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

  1. Daniel Weinland
  2. Ralph Gross
  3. Leonid Sigal
  4. Jianbo Shi
  5. Michael J. Black
  6. Edmond Boyer
  7. Rémi Ronfard
  8. Fengjun Lv

Who trusts Sanchit Singh overall

  1. Alexandros André Chaaraoui
  2. Manoj Ramanathan
  3. Wenxiu Ding
  4. Shahzad Cheema
  5. Wei Yun Yau
  6. Pau Climent-Pérez
  7. Francisco Flórez-Revuelta
  8. Xuyang Jing
  9. Abdalrahman Eweiwi
  10. José Ramón Padilla-López

Papers from Sanchit Singh's perspective

Ordered by how strongly the researchers Sanchit Singh 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Histograms of oriented gradients for human detection
  10. Going deeper with convolutions

Their papers