Seung-Wha Beack

Signal Processing · 2020

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 Seung-Wha Beack trusts overall

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

  1. Srihari Kankanahalli

Papers from Seung-Wha Beack's perspective

Ordered by how strongly the researchers Seung-Wha Beack 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. WaveNet: A Generative Model for Raw Audio
  4. Neural Discrete Representation Learning
  5. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
  6. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
  7. ISO-MPEG-1 Audio: A Generic Standard for Coding of High-: Quality Digital Audio
  8. End-To-End Optimized Speech Coding with Deep Neural Networks
  9. ImageNet classification with deep convolutional neural networks
  10. Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

Their papers