Ivana Chingovska

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #10,887 of 21,575 by trust here, #11,950 by citations
• Signal Processing — 47 citations into it; #3,317 of 7,572 by trust here, #2,911 by citations
• Information Systems — 18 citations into it; #3,308 of 8,771 by trust here, #4,341 by citations
• Safety, Robustness & Interpretability — 8 citations into it
• Artificial Intelligence — 5 citations into it

Whom Ivana Chingovska trusts overall

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

1. André Anjos
2. Sébastien Marcel
3. Emanuela Marasco
4. Timo Ojala
5. Ricardo Nagel Rodrigues
6. Eric R. Ziegel
7. Tiago de Freitas Pereira
8. Anil K. Jain
9. Matti Pietikäinen
10. David W. Hosmer Jr.

Who trusts Ivana Chingovska overall

1. Sébastien Marcel
2. Abdenour Hadid
3. André Anjos
4. Yaojie Liu
5. Zinelabinde Boulkenafet
6. Ramachandra Raghavendra
7. Javier Galbally
8. Amin Jourabloo
9. Zitong Yu
10. Jukka Komulainen

Papers from Ivana Chingovska's perspective

Ordered by how strongly the researchers Ivana Chingovska 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 classification with deep convolutional neural networks
3. Histograms of oriented gradients for human detection
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Anti-spoofing in Action: Joint Operation with a Verification System (2013) — 74 citations
• Face Recognition Systems Under Spoofing Attacks (2016) — 101 citations
• Evaluation Methodologies (2014) — 14 citations
• Biometrics Evaluation Under Spoofing Attacks (2014) — 111 citations
• On the effectiveness of local binary patterns in face anti-spoofing (2012) — 1,048 citations