H. Kamel

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Kamel trusts

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

  1. Trevor Darrell (in Computer Vision and Pattern Recognition)
  2. Yann LeCun (in Computer Vision and Pattern Recognition)

Papers from H. Kamel's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Et al
  3. Fully convolutional networks for semantic segmentation
  4. Learning Hierarchical Features for Scene Labeling
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  8. Learning Deconvolution Network for Semantic Segmentation
  9. Vision meets robotics: The KITTI dataset
  10. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Their papers