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