Matthew A. Suriawinata

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 13 citations into it

Whom Matthew A. Suriawinata trusts overall

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

1. Kaiming He

Papers from Matthew A. Suriawinata's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. ImageNet Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Microsoft COCO: Common Objects in Context
7. Learning Deep Architectures for AI
8. Gradient-based learning applied to document recognition
9. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Learning for Classification of Colorectal Polyps on Whole-slide Images (2017) — 307 citations