Fei Deng

Computer Vision and Pattern Recognition · with Chu · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Deng trusts overall

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

  1. Daniel Scharstein
  2. Rowel O. Atienza
  3. Alex Krizhevsky

Papers from Fei Deng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Fully convolutional networks for semantic segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Fast R-CNN
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  8. Are we ready for autonomous driving? The KITTI vision benchmark suite
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers