Chunyuan Liao

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 111 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Chunyuan Liao trusts

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

  1. Ming-Hsuan Yang (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Karen Simonyan (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. X. Zhang (in Computer Vision and Pattern Recognition)
  10. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Who trusts Chunyuan Liao

  1. Martin Danelljan (in Computer Vision and Pattern Recognition)
  2. Luc Van Gool (in Computer Vision and Pattern Recognition)

Papers from Chunyuan Liao's perspective

Ordered by how strongly the researchers Chunyuan Liao 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. ImageNet classification with deep convolutional neural networks
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Microsoft COCO: Common Objects in Context
  6. The Cityscapes Dataset for Semantic Urban Scene Understanding
  7. Object tracking: A survey (CSUR)
  8. Online Object Tracking: A Benchmark
  9. Struck: Structured output tracking with kernels (Vision)
  10. How transferable are features in deep neural networks?

Their papers