Calvin Luo

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 198 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #11,504 of 21,575 by trust here, #19,310 by citations
• Generative Models — 16 citations into it
• Artificial Intelligence — 12 citations into it; #18,171 of 35,345 by trust here, #30,347 by citations
• Probabilistic & Bayesian Methods — 10 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Calvin Luo trusts overall

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

1. Jonathan Ho
2. Yang Song
3. Diederik P. Kingma
4. Aapo Hyvärinen
5. Pascal Vincent
6. Bradley Efron
7. Prafulla Dhariwal
8. Geoffrey E. Hinton
9. Stefano Ermon
10. Tim Salimans

Who trusts Calvin Luo overall

1. Wenjie Wang
2. Yiyan Xu
3. Fuli Feng
4. Xiuyu Li
5. Ling Yang

Papers from Calvin Luo's perspective

Ordered by how strongly the researchers Calvin 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Understanding Diffusion Models: A Unified Perspective (2022) — 522 citations