Jorma T. Laaksonen

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it

Whom Jorma T. Laaksonen trusts overall

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

1. Kaiming He

Papers from Jorma T. Laaksonen's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Going deeper with convolutions
3. Microsoft COCO: Common Objects in Context
4. Histograms of oriented gradients for human detection
5. Distinctive Image Features from Scale-Invariant Keypoints
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. Long Short-Term Memory
9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The 2005 PASCAL Visual Object Classes Challenge (2005) — 525 citations
• The MeMAD Submission to the WMT18 Multimodal Translation Task (2018) — 69 citations