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

This paper proposes to use the three vectors in a rotation matrix as the representation in
head pose estimation and develops a new neural network based on the characteristic of …

Recently, heatmap regression models have become popular due to their superior
performance in locating facial landmarks. However, three major problems still exist among …

Multimodal sentiment analysis aims to judge the sentiment of multimodal data uploaded by
the Internet users on various social media platforms. On one hand, existing studies focus on …

Regression is one of the most important supervised learning methods in data mining that is
used to predict and discover knowledge in data mining science. After reviewing the studies …

State-of-the-art deep learning-based Head Pose Estimation (HPE) techniques have reached
spectacular performance on High-Resolution (HR) face images. However, they still fail to …

We present a deep learning-based multi-task approach for head pose estimation in images.
We contribute with a network architecture and training strategy that harness the strong …

Heatmap regression has become the mainstream methodology for deep learning-based
semantic landmark localization, including in facial landmark localization and human pose …

Top-performing landmark estimation algorithms are based on exploiting the excellent ability
of large convolutional neural networks (CNNs) to represent local appearance. However, it is …

Facial landmark detection is a vital step for numerous facial image analysis applications.
Although some deep learning-based methods have achieved good performances in this …