J. Kumar

Computer Vision and Pattern Recognition · with Doermann · 2012–2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Kumar trusts overall

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

  1. A. Bovik
  2. Anush K. Moorthy
  3. Adam Coates
  4. Hamid R. Sheikh
  5. Andrew Y. Ng
  6. Zhou Wang
  7. Jianchao Yang
  8. Qiang Li
  9. Eric C. Larson
  10. Michele A. Saad

Who trusts J. Kumar overall

  1. Kede Ma
  2. Jongyoo Kim
  3. Yochai Blau
  4. Weixia Zhang
  5. Wufeng Xue
  6. Eirikur Agustsson
  7. Radu Timofte
  8. S. Alireza Golestaneh
  9. Xiongkuo Min
  10. Lei Zhang

Papers from J. Kumar's perspective

Ordered by how strongly the researchers J. Kumar 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. 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. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Image quality assessment: from error visibility to structural similarity
  10. Long Short-Term Memory

Their papers