Sung-Ye Jung

Artificial Intelligence · 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 Sung-Ye Jung trusts

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

  1. Sergey Ioffe (in Artificial Intelligence)
  2. Andrew Zisserman (in Artificial Intelligence)

Papers from Sung-Ye Jung's perspective

Ordered by how strongly the researchers Sung-Ye Jung 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. Learning a similarity metric discriminatively, with application to face verification
  3. FaceNet: A unified embedding for face recognition and clustering
  4. Prototypical Networks for Few-shot Learning
  5. Return of the Devil in the Details: Delving Deep into Convolutional Nets
  6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  7. VoxCeleb: A Large-Scale Speaker Identification Dataset
  8. Instance Normalization: The Missing Ingredient for Fast Stylization
  9. VoxCeleb2: Deep Speaker Recognition
  10. Deep Neural Network Embeddings for Text-Independent Speaker Verification

Their papers