Xin Geng

Computer Vision and Pattern Recognition · with Bao · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Generative Models — 28 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Xin Geng trusts overall

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

1. Jonathan Ho

Papers from Xin Geng's perspective

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

1. ImageNet: A large-scale hierarchical image database
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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Deep Learning Face Attributes in the Wild
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Efficient Diffusion Training via Min-SNR Weighting Strategy (2023) — 302 citations