Jie Hu

Computer Vision and Pattern Recognition · with Chen · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Hu trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Jie Hu's perspective

Ordered by how strongly the researchers Jie Hu 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 Multiple Layers of Features from Tiny Images
  3. ImageNet: A large-scale hierarchical image database
  4. A Style-Based Generator Architecture for Generative Adversarial Networks
  5. Large Scale GAN Training for High Fidelity Natural Image Synthesis
  6. Progressive Growing of GANs for Improved Quality, Stability, and Variation
  7. Training data-efficient image transformers & distillation through attention
  8. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  9. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
  10. Diffusion Models Beat GANs on Image Synthesis

Their papers