Visual recognition with deep nearest centroids
We devise deep nearest centroids (DNC), a conceptually elegant yet surprisingly effective
network for large-scale visual recognition, by revisiting Nearest Centroids, one of the most …
network for large-scale visual recognition, by revisiting Nearest Centroids, one of the most …
6d rotation representation for unconstrained head pose estimation
In this paper, we present a method for unconstrained end-to-end head pose estimation. We
address the problem of ambiguous rotation labels by introducing the rotation matrix …
address the problem of ambiguous rotation labels by introducing the rotation matrix …
img2pose: Face alignment and detection via 6dof, face pose estimation
We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
Orientation cues-aware facial relationship representation for head pose estimation via transformer
Head pose estimation (HPE) is an indispensable upstream task in the fields of human-
machine interaction, self-driving, and attention detection. However, practical head pose …
machine interaction, self-driving, and attention detection. However, practical head pose …
Synergy between 3dmm and 3d landmarks for accurate 3d facial geometry
This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D
facial landmarks to predict complete 3D facial geometry, including 3D alignment, face …
facial landmarks to predict complete 3D facial geometry, including 3D alignment, face …
Tokenhpe: Learning orientation tokens for efficient head pose estimation via transformers
Head pose estimation (HPE) has been widely used in the fields of human machine
interaction, self-driving, and attention estimation. However, existing methods cannot deal …
interaction, self-driving, and attention estimation. However, existing methods cannot deal …
Dad-3dheads: A large-scale dense, accurate and diverse dataset for 3d head alignment from a single image
We present DAD-3DHeads, a dense and diverse large-scale dataset, and a robust model for
3D Dense Head Alignment in-the-wild. It contains annotations of over 3.5 K landmarks that …
3D Dense Head Alignment in-the-wild. It contains annotations of over 3.5 K landmarks that …
Towards unbiased label distribution learning for facial pose estimation using anisotropic spherical gaussian
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 …
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
Biometric based systems are involved in many areas, from surveillance to user
authentication, from autonomous systems to human-robot interactions. Head pose …
authentication, from autonomous systems to human-robot interactions. Head pose …
DSFNet: Dual space fusion network for occlusion-robust 3D dense face alignment
Sensitivity to severe occlusion and large view angles limits the usage scenarios of the
existing monocular 3D dense face alignment methods. The state-of-the-art 3DMM-based …
existing monocular 3D dense face alignment methods. The state-of-the-art 3DMM-based …