Mingyang Li

Computer Vision and Pattern Recognition · with Li · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it

Whom Mingyang Li trusts overall

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

1. Alex Krizhevsky

Papers from Mingyang Li's perspective

Ordered by how strongly the researchers Mingyang Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Multiple Layers of Features from Tiny Images
2. Explaining and Harnessing Adversarial Examples
3. ImageNet classification with deep convolutional neural networks
4. The Limitations of Deep Learning in Adversarial Settings
5. Adversarial Examples Are Not Bugs, They Are Features
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
8. Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition (Computer Vision and Pattern Recognition)
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• Sparse Adversarial Attack via Perturbation Factorization (2020) — 98 citations