Data physicalization

P Dragicevic, Y Jansen, A Vande Moere - Handbook of human computer …, 2020 - Springer
Data physicalization is a rich and vast research area that studies the use of physical artifacts
to convey data. It overlaps with a number of research areas including information …

Exploiting temporal context for 3D human pose estimation in the wild

A Arnab, C Doersch… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
We present a bundle-adjustment-based algorithm for recovering accurate 3D human pose
and meshes from monocular videos. Unlike previous algorithms which operate on single …

Sim2real transfer learning for 3d human pose estimation: motion to the rescue

C Doersch, A Zisserman - Advances in Neural Information …, 2019 - proceedings.neurips.cc
Synthetic visual data can provide practicically infinite diversity and rich labels, while
avoiding ethical issues with privacy and bias. However, for many tasks, current models …

[PDF][PDF] AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information Processing.

S Tsuchida, S Fukayama, M Hamasaki, M Goto - ISMIR, 2019 - academia.edu
DB), a shared database containing original street dance videos with copyright-cleared
dance music. Although dancing is highly related to dance music and dance information can …

Data to physicalization: A survey of the physical rendering process

H Djavaherpour, F Samavati… - Computer Graphics …, 2021 - Wiley Online Library
Physical representations of data offer physical and spatial ways of looking at, navigating,
and interacting with data. While digital fabrication has facilitated the creation of objects with …

Videodoodles: Hand-drawn animations on videos with scene-aware canvases

E Yu, K Blackburn-Matzen, C Nguyen, O Wang… - ACM Transactions on …, 2023 - dl.acm.org
We present an interactive system to ease the creation of so-called video doodles-videos on
which artists insert hand-drawn animations for entertainment or educational purposes. Video …

Sequential 3D human pose and shape estimation from point clouds

K Wang, J Xie, G Zhang, L Liu… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
This work addresses the problem of 3D human pose and shape estimation from a sequence
of point clouds. Existing sequential 3D human shape estimation methods mainly focus on …

STRAIDE: a research platform for shape-changing spatial displays based on actuated strings

S Engert, K Klamka, A Peetz, R Dachselt - Proceedings of the 2022 CHI …, 2022 - dl.acm.org
We present STRAIDE, a string-actuated interactive display environment that allows to
explore the promising potential of shape-changing interfaces for casual visualizations. At the …

RealityReplay: Detecting and Replaying Temporal Changes In Situ Using Mixed Reality

H Cho, ML Komar, D Lindlbauer - Proceedings of the ACM on Interactive …, 2023 - dl.acm.org
Humans easily miss events in their surroundings due to limited short-term memory and field
of view. This happens, for example, while watching an instructor's machine repair …

Human behavior recognition using range-velocity-time points

M Li, T Chen, H Du - IEEE Access, 2020 - ieeexplore.ieee.org
Radar-based sensors do not require optimal lighting and atmospheric conditions and
nonocclusion, making them a promising solution for human behavior analysis in complex …