Ruoshi Liu

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 96 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it; #21,280 of 21,575 by trust here, #9,305 by citations
• Computer Graphics and Computer-Aided Design — 36 citations into it; #1,549 of 1,584 by trust here, #526 by citations
• Generative Models — 21 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Ruoshi Liu trusts overall

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

1. Jonathan Ho
2. Ajay Jain
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Kaiming He
6. Alex Krizhevsky
7. Yoshua Bengio
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Who trusts Ruoshi Liu overall

1. Minghua Liu
2. Jiaxiang Tang
3. Peng Wang
4. Ruoxi Shi
5. Stanislaw Szymanowicz
6. Andreas Blattmann
7. Vikram S. Voleti
8. Yichun Shi
9. Yinghao Xu
10. Zhengyi Wang

Papers from Ruoshi Liu's perspective

Ordered by how strongly the researchers Ruoshi Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Zero-1-to-3: Zero-shot One Image to 3D Object (2023) — 1,787 citations
• Objaverse-XL: A Universe of 10M+ 3D Objects (2023) — 873 citations