Z. Qin

Computer Vision and Pattern Recognition · with Wang · 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

• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 22 citations into it

Whom Z. Qin trusts overall

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

1. Diederik P. Kingma

Papers from Z. Qin's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
7. ImageNet: A large-scale hierarchical image database
8. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models (2023) — 375 citations