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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 231–240 of 308 papers

TitleStatusHype
Making Convolutional Networks Recurrent for Visual Sequence Learning—0
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals—0
Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays—0
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment—0
Mirror, mirror on the wall, tell me, is the error small?—0
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment—0
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment—0
MobileFAN: Transferring Deep Hidden Representation for Face Alignment—0
Monocular Free-Head 3D Gaze Tracking With Deep Learning and Geometry Constraints—0
Multi-Attribute Robust Component Analysis for Facial UV Maps—0
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