Yu-xin Zhang

Computer Vision and Pattern Recognition · with Huang · 2022

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

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it

Whom Yu-xin Zhang trusts overall

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

1. Leon A. Gatys
2. Xun Huang
3. Gihyun Kwon
4. Aditya Ramesh
5. Olaf Ronneberger
6. Patrick Esser
7. Diederik P. Kingma
8. Prafulla Dhariwal
9. Geoffrey E. Hinton
10. Alexander S. Ecker

Papers from Yu-xin Zhang's perspective

Ordered by how strongly the researchers Yu-xin Zhang 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Inversion-based Style Transfer with Diffusion Models (2022) — 478 citations