Search Results for author:
Found 7 papers, 1 papers with code
Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification
Person re-identification (re-ID) aims to tackle the problem of matching identities across non-overlapping cameras.
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing
We motivate our work by noting that most methods require a parametric model of the human body to ground pose-dependent deformations.
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
To this end, we cast 3D pose learning as a self-supervised adaptation problem that aims to transfer the task knowledge from a labeled source domain to a completely unpaired target.
Ranked #6 on
Unsupervised 3D Human Pose Estimation
on Human3.6M
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
The advances in monocular 3D human pose estimation are dominated by supervised techniques that require large-scale 2D/3D pose annotations.
Ranked #9 on
Unsupervised 3D Human Pose Estimation
on Human3.6M
Monocular 3D Human Pose Estimation
Unsupervised 3D Human Pose Estimation
+2
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization
Recent algorithms for image manipulation detection almost exclusively use deep network models.
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
However, generalizability of human pose estimation models developed using supervision on large-scale in-studio datasets remains questionable, as these models often perform unsatisfactorily on unseen in-the-wild environments.
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Camera captured human pose is an outcome of several sources of variation.
