O. Krikoni

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom O. Krikoni trusts

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

1. David Stutz (in Computer Vision and Pattern Recognition)
2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from O. Krikoni's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Hypercolumns for object segmentation and fine-grained localization
3. Neural Codes for Image Retrieval
4. Aggregating Local Deep Features for Image Retrieval
5. Cross-Dimensional Weighting for Aggregated Deep Convolutional Features (ECCV Workshops)
6. Pap-smear Benchmark Data For Pattern Classification
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Sipakmed: A New Dataset for Feature and Image Based Classification of Normal and Pathological Cervical Cells in Pap Smear Images (2018) — 314 citations