Matt Skach

Aerospace Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 10 citations into it

Whom Matt Skach trusts overall

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

1. Ryan W. Wolcott

Papers from Matt Skach's perspective

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

1. Caffe: Convolutional Architecture for Fast Feature Embedding
2. Are we ready for autonomous driving? The KITTI vision benchmark suite
3. YOLO9000: Better, Faster, Stronger
4. cuDNN: Efficient Primitives for Deep Learning
5. ImageNet classification with deep convolutional neural networks
6. ORB-SLAM: A Versatile and Accurate Monocular SLAM System
7. A benchmark for the evaluation of RGB-D SLAM systems
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Learning to Track at 100 FPS with Deep Regression Networks
10. Gradient-based learning applied to document recognition

Their papers

• The Architectural Implications of Autonomous Driving: Constraints and Acceleration (2018) — 488 citations