Sema Candemir
Computer Vision and Pattern Recognition · 2013–2014
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it
Whom Sema Candemir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuri Boykov
- David G. Lowe
- Krystian Mikolajczyk
- B. van Ginneken
- Ce Liu
- Cordelia Schmid
- G. Funka-Lea
- Paul Aljabar
- Olga Veksler
- Navneet Dalal
Who trusts Sema Candemir overall
Papers from Sema Candemir's perspective
Ordered by how strongly the researchers Sema Candemir trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Distinctive Image Features from Scale-Invariant Keypoints
- Gradient-based learning applied to document recognition
- Histograms of oriented gradients for human detection
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. (2014) — 1,079 citations
- Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration (2013) — 653 citations
- Automatic Tuberculosis Screening Using Chest Radiographs (2013) — 689 citations