Icksang Han

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 Icksang Han 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 Icksang Han's perspective

Ordered by how strongly the researchers Icksang Han 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