Mike Guo

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it

Whom Mike Guo trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
3. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Mike Guo's perspective

Ordered by how strongly the researchers Mike Guo 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 Large Scale Visual Recognition Challenge
3. ImageNet: A large-scale hierarchical image database
4. Aggregated Residual Transformations for Deep Neural Networks
5. mixup: Beyond Empirical Risk Minimization
6. Towards Deep Learning Models Resistant to Adversarial Attacks
7. Exploring the Limits of Weakly Supervised Pretraining
8. AutoAugment: Learning Augmentation Policies from Data
9. Do Better ImageNet Models Transfer Better?
10. Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Their papers

• The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization (2020) — 2,442 citations