Weiwei Xu

Computer Vision and Pattern Recognition · with Bao · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiwei Xu trusts

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

  1. Vladlen Koltun (in Computer Vision and Pattern Recognition)
  2. Andreas Geiger (in Computer Vision and Pattern Recognition)
  3. Jia Deng (in Computer Vision and Pattern Recognition)
  4. Jonathan T. Barron (in Computer Vision and Pattern Recognition)
  5. Daniel Cremers (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Weiwei Xu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. A volumetric method for building complex models from range images
  5. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
  6. A benchmark for the evaluation of RGB-D SLAM systems
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers