C. D. Nolfo

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it

Whom C. D. Nolfo trusts

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

1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from C. D. Nolfo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Going deeper with convolutions
4. Improving neural networks by preventing co-adaptation of feature detectors
5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
6. Network In Network
7. Striving for Simplicity: The All Convolutional Net
8. cuDNN: Efficient Primitives for Deep Learning
9. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
10. 3D Convolutional Neural Networks for Human Action Recognition

Their papers

• Convolutional networks for fast, energy-efficient neuromorphic computing (2016) — 763 citations
• A Low Power, Fully Event-Based Gesture Recognition System (2017) — 1,089 citations
• Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element (2015) — 724 citations
• Equivalent-accuracy accelerated neural-network training using analogue memory (2018) — 974 citations