Yiannis Gatsoulis

Computer Vision and Pattern Recognition · 2009–2014

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 10 citations into it
• Biomedical Engineering — 6 citations into it

Whom Yiannis Gatsoulis trusts overall

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

1. Hema Swetha Koppula
2. Ivan Laptev
3. Chih-Jen Lin

Papers from Yiannis Gatsoulis's perspective

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

1. LIBSVM: A library for support vector machines
2. On Space-Time Interest Points
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Histograms of oriented gradients for human detection
7. Going deeper with convolutions
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition (2014) — 30 citations
• Frontiers in Artificial Intelligence and Applications (2009) — 556 citations