Andre Gaschler

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 Andre Gaschler trusts overall

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

1. Ivan Laptev
2. Geoffrey E. Hinton

Papers from Andre Gaschler's perspective

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

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

Their papers

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