Joel Cheverie

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joel Cheverie trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  6. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  7. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  8. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Joel Cheverie's perspective

Ordered by how strongly the researchers Joel Cheverie 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. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. Fully convolutional networks for semantic segmentation
  8. Network In Network
  9. The Cityscapes Dataset for Semantic Urban Scene Understanding
  10. Are we ready for autonomous driving? The KITTI vision benchmark suite

Their papers