De Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom De Wang trusts

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

  1. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from De Wang's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Mask R-CNN
  3. Generating Sequences With Recurrent Neural Networks
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. The Cityscapes Dataset for Semantic Urban Scene Understanding
  7. Vision meets robotics: The KITTI dataset
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers