David J. Berg

Computer Vision and Pattern Recognition · with Amir · 2016–2017

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

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it

Whom David J. Berg trusts overall

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

1. Andrea Vedaldi

Papers from David J. Berg's perspective

Ordered by how strongly the researchers David J. Berg 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Improving neural networks by preventing co-adaptation of feature detectors
7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
8. Network In Network
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

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