Ting Hu

Computer Vision and Pattern Recognition · with Cao · 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 Ting Hu trusts

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

  1. Karen Simonyan (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Ting Hu's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet: A large-scale hierarchical image database
  3. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  4. Large Scale Distributed Deep Networks
  5. Two-Stream Convolutional Networks for Action Recognition in Videos
  6. Convolutional networks for images, speech, and time series
  7. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals (Comput. Biol. Medicine)
  8. An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach (Expert systems with applications)
  9. Application of Machine Learning To Epileptic Seizure Detection (International Conference on Machine Learning)
  10. ImageNet classification with deep convolutional neural networks

Their papers