Nirbhar Neogi

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nirbhar Neogi trusts overall

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

  1. Xianghua Xie
  2. Xiu-yong Wu
  3. Simon S. Haykin
  4. Ke Xu

Who trusts Nirbhar Neogi overall

  1. Fu-Chen Chen
  2. Daniel Weimer
  3. Mohammad Reza Jahanshahi
  4. Bernd Scholz-Reiter

Papers from Nirbhar Neogi's perspective

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

  1. Neural Networks: A Comprehensive Foundation
  2. Steel defect classification with Max-Pooling Convolutional Neural Networks (IEEE International Joint Conference on Neural Network)
  3. Application of Undecimated Wavelet Transform to Surface Defect Detection of Hot Rolled Steel Plates (International Congress on Image and Signal Processing)
  4. Neural Networks: A Comprehensive Foundation
  5. A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
  6. Gradient-based learning applied to document recognition
  7. Object recognition from local scale-invariant features
  8. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
  9. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  10. Texture classification: are filter banks necessary?

Their papers