Yuan Hao

Computer Vision and Pattern Recognition · 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.

Subfields

Whom Yuan Hao trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Yuan Hao's perspective

Ordered by how strongly the researchers Yuan Hao 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. Zero-Shot Text-to-Image Generation
  5. Generating Videos with Scene Dynamics
  6. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
  7. Learning Spatiotemporal Features with 3D Convolutional Networks
  8. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  9. Generative Pretraining From Pixels
  10. A Style-Based Generator Architecture for Generative Adversarial Networks

Their papers