Louis J. Vaickus

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Louis J. Vaickus trusts overall

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

1. Kaiming He
2. Shaoqing Ren

Papers from Louis J. Vaickus's perspective

Ordered by how strongly the researchers Louis J. Vaickus 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. Microsoft COCO: Common Objects in Context
4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
5. ImageNet classification with deep convolutional neural networks
6. Reading Digits in Natural Images with Unsupervised Feature Learning
7. Gradient-based learning applied to document recognition
8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks (2019) — 309 citations