Arunava Banerjee

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 Arunava Banerjee trusts overall

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

  1. Guillermo Sapiro
  2. Stéphane Mallat
  3. G. Yu

Who trusts Arunava Banerjee overall

  1. Yunjin Chen

Papers from Arunava Banerjee's perspective

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

  1. Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images (IEEE Transactions on Image Processing)
  2. Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity (IEEE Transactions on Image Processing)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers