Filiz Bunyak

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Artificial Intelligence — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Structural Biology — 5 citations into it
• Surfaces, Coatings and Films — 5 citations into it

Whom Filiz Bunyak trusts overall

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

1. Chih-Jen Lin
2. Sjors H. W. Scheres
3. Joseph Redmon

Who trusts Filiz Bunyak overall

1. Juan Eugenio Iglesias

Papers from Filiz Bunyak's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet Large Scale Visual Recognition Challenge
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Histograms of oriented gradients for human detection
5. ImageNet classification with deep convolutional neural networks
6. Object Detection with Discriminatively Trained Part Based Models
7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
8. Gradient-based learning applied to document recognition
9. LIBSVM: A library for support vector machines
10. Learning a similarity metric discriminatively, with application to face verification

Their papers

• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression (2018) — 6 citations
• Segmentation and Classification of Cell Cycle Phases in Fluorescence Imaging (2009) — 338 citations