Martin Kampel

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Martin Kampel trusts overall

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

1. Andrea Vedaldi
2. Matthijs C. Dorst
3. Svetlana Lazebnik
4. Andrew Zisserman

Papers from Martin Kampel's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Invariant Image-Based Species Classification of Butterflies and Reef Fish (2015) — 3 citations