Hao Zhu

Computer Vision and Pattern Recognition · with Zhu · 2024

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Zhu trusts

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

  1. Jian Zhao (in Computer Vision and Pattern Recognition)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Hao Zhu's perspective

Ordered by how strongly the researchers Hao Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GENERATIVE ADVERSARIAL NETS
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  4. AUTO-ENCODING VARIATIONAL BAYES
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  7. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
  8. Conditional Generative Adversarial Nets
  9. ImageNet classification with deep convolutional neural networks
  10. Image quality assessment: from error visibility to structural similarity

Their papers