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Face Alignment

Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.

( Image credit: 3DDFA_V2 )

Papers

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Showing 151–200 of 308 papers

TitleStatusHype
PropagationNet: Propagate Points to Curve to Learn Structure Information—0
Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails—0
RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models—0
Realistic face animation generation from videos—0
Real-Time 3D Head Pose and Facial Landmark Estimation From Depth Images Using Triangular Surface Patch Features—0
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network—0
Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition—0
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment—0
Regressive Tree Structured Model for Facial Landmark Localization—0
Revisiting Quantization Error in Face Alignment—0
Robust 3D Face Alignment with Multi-Path Neural Architecture Search—0
Robust Face Alignment by Multi-order High-precision Hourglass Network—0
Robust Face Alignment Using a Mixture of Invariant Experts—0
Robust Face Recognition by Constrained Part-based Alignment—0
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks—0
Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization—0
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions—0
Robust Statistical Face Frontalization—0
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset—0
SCAF: Skip-Connections in Auto-encoder for Face alignment with few annotated data—0
Searching for Alignment in Face Recognition—0
Self-Reinforced Cascaded Regression for Face Alignment—0
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection—0
Separable Batch Normalization for Robust Facial Landmark Localization with Cross-protocol Network Training—0
Simultaneous regression and feature learning for facial landmarking—0
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer—0
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment—0
Spontaneous Emotion Recognition from Facial Thermal Images—0
Sub-pixel face landmarks using heatmaps and a bag of tricks—0
Subpixel Heatmap Regression for Facial Landmark Localization—0
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs—0
Supervised Descent Method and Its Applications to Face Alignment—0
Synergy Between Face Alignment and Tracking via Discriminative Global Consensus Optimization—0
The Blessing and the Curse of the Noise behind Facial Landmark Annotations—0
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances—0
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression—0
Toward an Automatic System for Computer-Aided Assessment in Facial Palsy—0
Towards Accurate Facial Landmark Detection via Cascaded Transformers—0
Towards Arbitrary-View Face Alignment by Recommendation Trees—0
Towards End-to-End Face Recognition through Alignment Learning—0
Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization—0
Towards Multi-view and Partially-Occluded Face Alignment—0
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos—0
Transferring Landmark Annotations for Cross-Dataset Face Alignment—0
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment—0
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild—0
Unconstrained 3D Face Reconstruction—0
Unconstrained Face Alignment via Cascaded Compositional Learning—0
Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks—0
Unifying Holistic and Parts-Based Deformable Model Fitting—0
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