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List of Papers Accepted for
CVPR 2016 Biometrics Workshop |
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Paper ID |
Paper Title |
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1 |
Offline Signature Verification Based on Bag-of-Visual
Words Model Using KAZE Features and Weighting Schemes |
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4 |
Implementation of Fixed-Length Template Protection Based
on Homomorphic Encryption with Application to Signature Biometrics |
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7 |
Latent Fingerprint Image Segmentation using Fractal
Dimension Features and Weighted Extreme Learning Machine Ensemble |
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8 |
CALIPER: Continuous Authentication Layered with
Integrated PKI Encoding Recognition |
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9 |
Simultaneous Semi-Coupled Dictionary Learning for
Matching RGBD data |
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12 |
Deep Tattoo Recognition |
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24 |
Deep Secure Encoding for Face Template Protection |
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26 |
A Polarimetric Thermal Database for Face Recognition
Research |
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28 |
Gaussian Conditional Random Fields for Face Recognition |
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30 |
Grouper: Optimizing Crowdsourced Face Annotations |
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31 |
Pooling Faces: Template based Face Recognition with
Pooled Face Images |
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32 |
A Comparison of Human and Automated Face Verification
Accuracy on Unconstrained Image Sets |
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34 |
Weakly Supervised Facial Analysis with Dense Hyper-column
Features |
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35 |
Soft-Margin Learning for Multiple Feature-Kernel
Combinations with Domain Adaptation, for Recognition in Surveillance Face
Dataset |
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36 |
Feature Vector Compression based on Least Error
Quantization |
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40 |
Heterogeneous Face Recognition using Inter-Session
Variability Modelling |
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44 |
PARAPH: Presentation Attack Rejection by Analyzing
Polarization Hypotheses |
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45 |
Real-Time Face Identification via CNN and Boosted Hashing
Forest |
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47 |
Frequency map by
Structure Tensor in Logarithmic Scale
Space and Forensic Fingerprints |
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48 |
Two-Stream CNNs for Authentication and Identification:
Learning User Gesture Style |
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49 |
GMM-SVM Fingerprint Verification Based on Minutiae Only |
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50 |
What do you do when you know that you don’t know? |
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52 |
A Comprehensive Analysis of Deep Learning Based
Representation for Face Recognition |
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54 |
DeepGender: Occlusion and Low Resolution Robust
Facial Gender Classification via Progressively Trained Convolutional Neural
Network with Attention |
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* The reviews
for all the papers submitted for the CVPR 2016 Biometrics Workshop can be
accessed from CMT on/after June 27, 2016 -> May 27, 2016. |
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** Details for
the camera ready submission and instructions will be sent by email on June
27, 2016 -> May 27, 2016. |
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Acceptance
Rate: 39.34% (based on 61 reviewed papers and 24 papers finally accepted for
the presentation). |
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