Yajie Zhao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yajie Zhao trusts

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

  1. Michael J. Black (in Computer Vision and Pattern Recognition)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Yajie Zhao's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
  5. Unsupervised Learning of 3D Structure from Images
  6. Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency
  7. Multi-view 3D Models from Single Images with a Convolutional Network
  8. Image-based visual hulls
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning from Synthetic Humans

Their papers