Daniel Clarke

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Daniel Clarke trusts overall

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

1. Ivan Laptev
2. Geoffrey E. Hinton
3. Navneet Dalal
4. Yoav Freund
5. Svetlana Lazebnik

Papers from Daniel Clarke's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Histograms of oriented gradients for human detection
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Action recognition using ensemble weighted multi-instance learning (2014) — 23 citations