ARHPE: Asymmetric relation-aware representation learning for head pose estimation in industrial human–computer interaction

H Liu, T Liu, Z Zhang, AK Sangaiah… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Head pose estimation (HPE) has wide industrial applications, such as online education,
human–robot interaction, and automatic manufacturing. In this article, we address two key …

A vector-based representation to enhance head pose estimation

Z Cao, Z Chu, D Liu, Y Chen - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
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 …

Harnessing text-to-image diffusion models for category-agnostic pose estimation

D Peng, Z Zhang, P Hu, Q Ke, DKY Yau… - European Conference on …, 2025 - Springer
Abstract Category-Agnostic Pose Estimation (CAPE) aims to detect keypoints of an arbitrary
unseen category in images, based on several provided examples of that category. This is a …

Sadrnet: Self-aligned dual face regression networks for robust 3d dense face alignment and reconstruction

Z Ruan, C Zou, L Wu, G Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Three-dimensional face dense alignment and reconstruction in the wild is a challenging
problem as partial facial information is commonly missing in occluded and large pose face …

Towards unbiased label distribution learning for facial pose estimation using anisotropic spherical gaussian

Z Cao, D Liu, Q Wang, Y Chen - European Conference on Computer …, 2022 - Springer
Facial pose estimation refers to the task of predicting face orientation from a single RGB
image. It is an important research topic with a wide range of applications in computer vision …

Head pose estimation: An extensive survey on recent techniques and applications

AF Abate, C Bisogni, A Castiglione, M Nappi - Pattern Recognition, 2022 - Elsevier
Biometric based systems are involved in many areas, from surveillance to user
authentication, from autonomous systems to human-robot interactions. Head pose …

Deep learning for head pose estimation: A survey

A Asperti, D Filippini - SN Computer Science, 2023 - Springer
Head pose estimation (HPE) is an active and popular area of research. Over the years,
many approaches have constantly been developed, leading to a progressive improvement …

Unimodal-concentrated loss: Fully adaptive label distribution learning for ordinal regression

Q Li, J Wang, Z Yao, Y Li, P Yang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Learning from a label distribution has achieved promising results on ordinal regression
tasks such as facial age and head pose estimation wherein, the concept of adaptive label …

Multi-task head pose estimation in-the-wild

R Valle, JM Buenaposada… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Head pose estimation patterns as deepfake detectors

F Becattini, C Bisogni, V Loia, C Pero… - ACM Transactions on …, 2024 - dl.acm.org
The capacity to create “fake” videos has recently raised concerns about the reliability of
multimedia content. Identifying between true and false information is a critical step toward …