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Found 5 papers, 5 papers with code
ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
ChimpACT is both comprehensive and challenging, consisting of 163 videos with a cumulative 160, 500 frames, each richly annotated with detection, identification, pose estimation, and fine-grained spatiotemporal behavior labels.
3D Human Mesh Estimation from Virtual Markers
The advanced motion capture systems solve the problem by placing dense physical markers on the body surface, which allows to extract realistic meshes from their non-rigid motions.
Ranked #1 on
3D Human Pose Estimation
on Surreal
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data
While monocular 3D pose estimation seems to have achieved very accurate results on the public datasets, their generalization ability is largely overlooked.
3D Multi-Person Pose Estimation (absolute)
3D Pose Estimation
Context Modeling in 3D Human Pose Estimation: A Unified Perspective
By comparing the two methods, we found that the end-to-end training scheme in GNN and the limb length constraints in PSM are two complementary factors to improve results.
Ranked #60 on
3D Human Pose Estimation
on MPI-INF-3DHP
(AUC metric)
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
This injection of visual attention to both generative and discriminative networks is the main contribution of this paper.
