Dule Shu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Statistical and Nonlinear Physics — 17 citations into it
• Computational Mechanics — 13 citations into it

Whom Dule Shu trusts overall

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

1. Gary J. Chandler
2. Olaf Ronneberger
3. P. Spalart
4. Hyojin Kim
5. Jonathan Ho
6. Rich R. Kerswell
7. Yang Song
8. Diederik P. Kingma
9. Adam Paszke
10. Philipp Fischer

Papers from Dule Shu's perspective

Ordered by how strongly the researchers Dule Shu 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction (2022) — 311 citations