Javier Ortega-Garcia

Computer Vision and Pattern Recognition · 1996–2020

A researcher in the Science corpus: 8 papers; trusts 284 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 127 citations into it; #15,438 of 21,575 by trust here, #8,612 by citations
• Signal Processing — 40 citations into it; #6,421 of 7,572 by trust here, #2,114 by citations
• Artificial Intelligence — 31 citations into it
• Generative Models — 29 citations into it
• Information Systems — 22 citations into it; #4,961 of 8,771 by trust here, #2,912 by citations
• Model Architectures — 12 citations into it
• Media Technology — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Javier Ortega-Garcia trusts overall

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

1. Lawrence R. Rabiner
2. Geoffrey E. Hinton
3. Anil K. Jain
4. Diederik P. Kingma
5. Kaiming He
6. Alex Krizhevsky
7. Andrew Zisserman
8. Karen Simonyan
9. Yoshua Bengio
10. Yann LeCun

Who trusts Javier Ortega-Garcia overall

1. Julian Fierrez
2. Santiago Pascual
3. Luiz Gustavo Hafemann
4. Patrick Grother
5. Antonio Bonafonte
6. Marcos Martinez-Diaz
7. Robert Sabourin
8. J. Unar
9. Joan Serrà
10. Donato Impedovo

Papers from Javier Ortega-Garcia's perspective

Ordered by how strongly the researchers Javier Ortega-Garcia 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. GENERATIVE ADVERSARIAL NETS
10. Long Short-Term Memory

Their papers

• DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (2020) — 1,115 citations
• An evaluation of indirect attacks and countermeasures in fingerprint verification systems (2011) — 53 citations
• On the vulnerability of face verification systems to hill-climbing attacks (2010) — 148 citations
• HMM-based on-line signature verification: Feature extraction and signature modeling (2007) — 345 citations
• An Off-line Signature Verification System Based on Fusion of Local and Global Information (2004) — 405 citations
• A Tutorial on Text-Independent Speaker Verification (2004) — 954 citations
• MCYT baseline corpus: a bimodal biometric database (2003) — 762 citations
• Overview of speech enhancement techniques for automatic speaker recognition (1996)