Ying Sun

with Cheng · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ying Sun trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Dima Damen (in Computer Vision and Pattern Recognition)
  3. Song Han (in Computer Vision and Pattern Recognition)
  4. Chuang Gan (in Computer Vision and Pattern Recognition)
  5. Ji Lin (in Computer Vision and Pattern Recognition)

Papers from Ying Sun's perspective

Ordered by how strongly the researchers Ying Sun 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. TSM: Temporal Shift Module for Efficient Video Understanding
  3. ImageNet classification with deep convolutional neural networks
  4. EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
  5. Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
  6. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers