Hsiang-Tao Wu

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hsiang-Tao Wu trusts overall

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

  1. Hao Li
  2. Ronen Basri
  3. Per-Åke Wedin
  4. Sofien Bouaziz
  5. Ira Kemelmacher-Shlizerman
  6. Dorin Comaniciu
  7. Iain Matthews
  8. Yali Amit
  9. David W. Jacobs
  10. Volker Blanz

Who trusts Hsiang-Tao Wu overall

  1. Justus Thies
  2. Michael Zollhöfer
  3. Hyeongwoo Kim

Papers from Hsiang-Tao Wu's perspective

Ordered by how strongly the researchers Hsiang-Tao Wu 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. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. GENERATIVE ADVERSARIAL NETS
  10. Long Short-Term Memory

Their papers