Kuo-Hsuan Hung

Computer Vision and Pattern Recognition · 2019

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 Kuo-Hsuan Hung trusts

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

  1. Lovedeep Gondara (in Computer Vision and Pattern Recognition)

Papers from Kuo-Hsuan Hung's perspective

Ordered by how strongly the researchers Kuo-Hsuan Hung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Extracting and composing robust features with denoising autoencoders
  4. Fully convolutional networks for semantic segmentation
  5. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
  6. ImageNet classification with deep convolutional neural networks
  7. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Binary coding of speech spectrograms using a deep auto-encoder
  10. Gradient-based learning applied to document recognition

Their papers