Chadi Jabbour

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chadi Jabbour trusts

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

  1. Rob Fergus (in Computer Vision and Pattern Recognition)
  2. Yann LeCun (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Kyuyeon Hwang (in Artificial Intelligence)
  5. Wonyong Sung (in Artificial Intelligence)
  6. X. Zhang (in Computer Vision and Pattern Recognition)
  7. Matthew D. Zeiler (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  10. William (Bill) J. Dally (in Efficiency & Compression)

Papers from Chadi Jabbour's perspective

Ordered by how strongly the researchers Chadi Jabbour 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Rethinking the Inception Architecture for Computer Vision
  5. Gradient-based learning applied to document recognition
  6. Visualizing and Understanding Convolutional Networks
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers