Ajit Rajwade

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ajit Rajwade trusts overall

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

  1. G. Yu
  2. Guillermo Sapiro
  3. Mingyuan Zhou
  4. Stéphane Mallat

Who trusts Ajit Rajwade overall

  1. Yunjin Chen
  2. Xinyuan Zhang
  3. Thomas Pock

Papers from Ajit Rajwade's perspective

Ordered by how strongly the researchers Ajit Rajwade 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. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images (IEEE Transactions on Image Processing)

Their papers