1 code implementation • ICCV 2023 • Julian Tanke, Linguang Zhang, Amy Zhao, Chengcheng Tang, Yujun Cai, Lezi Wang, Po-Chen Wu, Juergen Gall, Cem Keskin
We propose Social Diffusion, a novel method for short-term and long-term forecasting of the motion of multiple persons as well as their social interactions.
1 code implementation • 17 Jun 2022 • RuiLong Li, Julian Tanke, Minh Vo, Michael Zollhofer, Jurgen Gall, Angjoo Kanazawa, Christoph Lassner
Since TAVA does not require a body template, it is applicable to humans as well as other creatures such as animals.
1 code implementation • 3DV 2021 • Julian Tanke, Chintan Zaveri, Juergen Gall
Recently, a few works have been proposed to model the uncertainty of the future human motion.
Ranked #13 on Human Pose Forecasting on Human3.6M
1 code implementation • 24 Jan 2021 • Julian Tanke, Juergen Gall
In this work we propose an approach for estimating 3D human poses of multiple people from a set of calibrated cameras.
no code implementations • CVPR 2021 • Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner
The combination of traditional rendering with neural networks in Deferred Neural Rendering (DNR) provides a compelling balance between computational complexity and realism of the resulting images.
no code implementations • 1 May 2020 • Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall
This work focuses on synthesizing human poses from human-level text descriptions.
no code implementations • 13 Dec 2019 • Julian Tanke, Oh-Hun Kwon, Patrick Stotko, Radu Alexandru Rosu, Michael Weinmann, Hassan Errami, Sven Behnke, Maren Bennewitz, Reinhard Klein, Andreas Weber, Angela Yao, Juergen Gall
The key prerequisite for accessing the huge potential of current machine learning techniques is the availability of large databases that capture the complex relations of interest.
no code implementations • 12 Dec 2019 • Julian Tanke, Andreas Weber, Juergen Gall
We exploit this connection by first anticipating symbolic labels and then generate human motion, conditioned on the human motion input sequence as well as on the forecast labels.
no code implementations • 21 Mar 2018 • Hauke Jürgen Mönck, Andreas Jörg, Tobias von Falkenhausen, Julian Tanke, Benjamin Wild, David Dormagen, Jonas Piotrowski, Claudia Winklmayr, David Bierbach, Tim Landgraf
Here we introduce BioTracker, an open-source computer vision framework, that provides programmers with core functionalities that are essential parts of a tracking software, such as video I/O, graphics overlays and mouse and keyboard interfaces.