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Face Recognition

991 directly classified papers

Papers per year

Papers

CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval CVPR 2016
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking CVPR 2016
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders CVPR 2016
A Multi-Level Contextual Model For Person Recognition in Photo Albums CVPR 2016
Functional Faces: Groupwise Dense Correspondence Using Functional Maps CVPR 2016
Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces CVPR 2016
Adaptive 3D Face Reconstruction From Unconstrained Photo Collections CVPR 2016
Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences CVPR 2016
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition NIPS 2016
ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching CVPR 2016
A 3D Morphable Model Learnt From 10,000 Faces CVPR 2016
Recurrent Face Aging CVPR 2016
Facial Expression Intensity Estimation Using Ordinal Information CVPR 2016
Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data CVPR 2016
Automated 3D Face Reconstruction From Multiple Images Using Quality Measures CVPR 2016
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment CVPR 2016
Pose-Aware Face Recognition in the Wild CVPR 2016
Multi-View Deep Network for Cross-View Classification CVPR 2016
Sparsifying Neural Network Connections for Face Recognition CVPR 2016
Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition CVPR 2016
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016
Pose-Invariant 3D Face Alignment ICCV 2015
Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015
Fast and Accurate Head Pose Estimation via Random Projection Forests ICCV 2015
Deeply Learned Face Representations Are Sparse, Selective, and Robust CVPR 2015