activity
20172024
most citedMonocular Navigation in Large Scale Dynamic Environments

1 citations · 2 across the 4 of their papers we have counts for

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cs.CV2024

Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network

Hao Xing, Darius Burschka

Human activities recognition is an important task for an intelligent robot, especially in the field of human-robot collaboration, it requires not only the label of sub-activities b…

cs.CV2021

Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information

Hao Xing, Yuxuan Xue, Mingchuan Zhou +1

This paper propose a novel dictionary learning approach to detect event action using skeletal information extracted from RGBD video. The event action is represented as several late…

cs.CV2018

Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints

Kartik Gupta, Darius Burschka, Arnav Bhavsar

In this work, we address a challenging problem of fine-grained and coarse-grained recognition of object manipulation actions. Due to the variations in geometrical and motion constr…

cs.CV2017

Direct Pose Estimation with a Monocular Camera

Darius Burschka, Elmar Mair

We present a direct method to calculate a 6DoF pose change of a monocular camera for mobile navigation. The calculated pose is estimated up to a constant unknown scale parameter th…

cs.CV20171 cited

Monocular Navigation in Large Scale Dynamic Environments

Darius Burschka

We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is…