Implement Region

【人臉識別】

Pose-Aware Face Recognition in the Wild, CVPR, 2016. [Paper]
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale, CVPR, 2016. [Paper]
Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition, CVPR, 2016. [Paper]
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation, CVPR, 2016. [Paper]
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval, CVPR, 2016. [Paper]
Sparsifying Neural Network Connections for Face Recognition, CVPR, 2016. [Paper]

【人臉檢測】

【人臉對齊】

Face Alignment Across Large Poses: A 3D Solution, CVPR, 2016. [Paper]
Unconstrained Face Alignment via Cascaded Compositional Learning, CVPR, 2016. [Paper]
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders, CVPR, 2016.[Paper]
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment, CVPR, 2016. [Paper]
Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting, CVPR, 2016. [Paper]

【人臉重建】

Automated 3D Face Reconstruction From Multiple Images Using Quality Measures, CVPR, 2016. [Paper]
A Robust Multilinear Model Learning Framework for 3D Faces, CVPR, 2016. [Paper]
Adaptive 3D Face Reconstruction From Unconstrained Photo Collections, CVPR, 2016. [Paper]
A 3D Morphable Model Learnt From 10,000 Faces, CVPR, 2016. [Paper]

【人臉其他】

Recurrent Face Aging, CVPR, 2016. [Paper]
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos, CVPR, 2016. [Paper]
Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions, CVPR, 2016.[Paper]
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval, CVPR, 2016. [Paper]

【其他】

A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length, CVPR, 2016. [Paper]
Ordinal Regression With Multiple Output CNN for Age Estimation, CVPR, 2016. [Paper]

Facial