Tao Hu

Computer Vision and Pattern Recognition · with Guo · 2013

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

Subfields

Whom Tao Hu trusts overall

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

  1. Lu Xia
  2. Jaeyong Sung
  3. Kiwon Yun
  4. Syed Zain Masood
  5. Jake K. Aggarwal
  6. Chia-Chih Chen
  7. Colin Ponce

Papers from Tao Hu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Human Activity Detection from RGBD Images
  4. Measuring and reducing observational latency when recognizing actions
  5. Histograms of oriented gradients for human detection
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers