In keypoint estimation tasks such as human pose estimation, heatmap-based regression is
the dominant approach despite possessing notable drawbacks: heatmaps intrinsically suffer …

Dense facial landmark detection is one of the key elements of face processing pipeline. It is
used in virtual face reenactment, emotion recognition, driver status tracking, etc. Early …

Neural networks for facial landmark detection are notoriously limited to a fixed set of
landmarks in a dedicated layout, which must be specified at training time. Dedicated …

Modern camera localization methods that use image retrieval, feature matching, and 3D
structure-based pose estimation require long-term storage of numerous scene images or a …

Facial anthropometrics are measurements of human faces and are important figures that are
used in many different fields, such as cosmetic surgery, protective gear design …

We present FarfetchFusion, a fully mobile live 3D telepresence system. Enabling mobile live
telepresence is a challenging problem as it requires i) realistic reconstruction of the user and …

Objective: The application of computer models in continuous patient activity monitoring
using video cameras is complicated by the capture of images of varying qualities due to poor …

At present, deep neural network methods have played a dominant role in face alignment
field. However, they generally use predefined network structures to predict landmarks, which …

Using a loss function with appropriate properties to supervise the training of the neural
network can substantially improve its accuracy and speed. A majority of loss functions …

Deep neural networks are used for a wide range of regression problems. However, there
exists a significant gap in accuracy between specialized approaches and generic direct …