Nima Fazeli

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Nima Fazeli trusts overall

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

  1. Rob Fergus
  2. Antonio Torralba
  3. William T. Freeman

Who trusts Nima Fazeli overall

  1. Andy Zeng
  2. Alberto Rodriguez
  3. Kuan-Ting Yu
  4. Maria Bauzá

Papers from Nima Fazeli's perspective

Ordered by how strongly the researchers Nima Fazeli 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: A large-scale hierarchical image database
  3. Fully convolutional networks for semantic segmentation
  4. Spatial Transformer Networks
  5. Indoor Segmentation and Support Inference from RGBD Images
  6. Adapting Visual Category Models to New Domains
  7. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 80 Million Tiny Images: a Large Dataset for Non-parametric Object and Scene Recognition
  8. Siamese Neural Networks for One-Shot Image Recognition
  9. AND T
  10. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection

Their papers