Romy Mi Luo

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 433 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 230 citations into it
• Artificial Intelligence — 198 citations into it
• Model Architectures — 80 citations into it
• Optimization & Training — 42 citations into it
• Federated & Distributed Learning — 27 citations into it
• Efficiency & Compression — 25 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Romy Mi Luo trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yann LeCun
6. Yoshua Bengio
7. Ross B. Girshick
8. Ilya Sutskever
9. Karen Simonyan
10. Christian Szegedy

Who trusts Romy Mi Luo overall

1. Weihao Yu
2. Mang Ye
3. Jaehoon Oh
4. Alireza Fallah
5. Yanyu Li
6. Yuchao Gu
7. Jianwei Yang
8. Xinchao Wang

Papers from Romy Mi Luo's perspective

Ordered by how strongly the researchers Romy Mi Luo 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Federated Meta-Learning with Fast Convergence and Efficient Communication (2018) — 475 citations
• Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives (2023) — 529 citations
• MetaFormer Baselines for Vision (2022) — 348 citations
• MetaFormer is Actually What You Need for Vision (2021) — 1,389 citations
• No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data (2021) — 483 citations