activity
20182024
most citedHuman Motion Anticipation with Symbolic Label

6 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views

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. Estimating 3D human poses from multiple views has several com…

cs.CV2020

ANR: Articulated Neural Rendering for Virtual Avatars

Amit Raj, Julian Tanke, James Hays +3

The combination of traditional rendering with neural networks in Deferred Neural Rendering (DNR) provides a compelling balance between computational complexity and realism of the r…

cs.CV2020

Adversarial Synthesis of Human Pose from Text

Yifei Zhang, Rania Briq, Julian Tanke +1

This work focuses on synthesizing human poses from human-level text descriptions. We propose a model that is based on a conditional generative adversarial network. It is designed t…

cs.CV20193 cited

Bonn Activity Maps: Dataset Description

Julian Tanke, Oh-Hun Kwon, Patrick Stotko +9

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.…

cs.CV20196 cited

Human Motion Anticipation with Symbolic Label

Julian Tanke, Andreas Weber, Juergen Gall

Anticipating human motion depends on two factors: the past motion and the person's intention. While the first factor has been extensively utilized to forecast short sequences of hu…

cs.CV2018

BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking

Hauke Jürgen Mönck, Andreas Jörg, Tobias von Falkenhausen +7

The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specia…