Xinying Guo

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Control and Systems Engineering — 27 citations into it
• Generative Models — 21 citations into it

Whom Xinying Guo trusts overall

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

1. Mathis Petrovich
2. Alex Nichol
3. Prafulla Dhariwal
4. Michael J. Black
5. Diederik P. Kingma
6. Chuan Guo
7. Geoffrey E. Hinton
8. Ashish Vaswani
9. Matthias Plappert
10. Alex Krizhevsky

Papers from Xinying Guo's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. GENERATIVE ADVERSARIAL NETS
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model (2022) — 1,020 citations
• ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model (2023) — 333 citations