Xiaojun Tong

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaojun Tong trusts

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

  1. Jitendra Malik (in Computer Vision and Pattern Recognition)
  2. David G. Lowe (in Computer Vision and Pattern Recognition)
  3. Silvio Savarese (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Xiaojun Tong's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Automatic differentiation in PyTorch
  5. On the difficulty of training recurrent neural networks
  6. A Point Set Generation Network for 3D Object Reconstruction from a Single Image (Computer Vision and Pattern Recognition)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
  9. ImageNet classification with deep convolutional neural networks
  10. 3D ShapeNets: A deep representation for volumetric shapes

Their papers