Zdenka Babi´c

Computer Vision and Pattern Recognition

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Zdenka Babi´c trusts overall

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

  1. David G. Lowe
  2. Javier Portilla
  3. Dengxin Dai
  4. Eero P. Simoncelli
  5. Wen Yang

Who trusts Zdenka Babi´c overall

  1. Wei Li
  2. Longhui Huang
  3. Baochang Zhang
  4. Flora Dellinger
  5. Cheng Chen
  6. Gui-Song Xia
  7. Hongjun Su

Papers from Zdenka Babi´c's perspective

Ordered by how strongly the researchers Zdenka Babi´c trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers