Search Results for author: Dietrich Paulus

Found 10 papers, 9 papers with code

Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks

1 code implementation27 Sep 2021 Michael Duhme, Raphael Memmesheimer, Dietrich Paulus

In this paper, we present Fusion-GCN, an approach for multimodal action recognition using Graph Convolutional Networks (GCNs).

Action Recognition Skeleton Based Action Recognition

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

1 code implementation23 Apr 2020 Raphael Memmesheimer, Nick Theisen, Dietrich Paulus

Further, we show that our approach generalizes well in experiments on the UTD-MHAD dataset for inertial, skeleton and fused data and the Simitate dataset for motion capturing data.

Action Recognition Face Identification +3

Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping

1 code implementation25 Jun 2019 Pascal Schneider, Raphael Memmesheimer, Ivanna Kramer, Dietrich Paulus

This paper presents a method for gesture recognition in RGB videos using OpenPose to extract the pose of a person and Dynamic Time Warping (DTW) in conjunction with One-Nearest-Neighbor (1NN) for time-series classification.

Dynamic Time Warping General Classification +2

Simitate: A Hybrid Imitation Learning Benchmark

3 code implementations15 May 2019 Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib, Dietrich Paulus

We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning.

Imitation Learning

Markerless Visual Robot Programming by Demonstration

no code implementations30 Jul 2018 Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib, Nick Theisen, Dietrich Paulus

We analyze a set of spatial constraints on human pose data extracted using convolutional pose machines and object informations extracted from 2D image sequences.

Pose Estimation

Simple Online and Realtime Tracking with a Deep Association Metric

72 code implementations21 Mar 2017 Nicolai Wojke, Alex Bewley, Dietrich Paulus

Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.

Large-Scale Person Re-Identification Multiple Object Tracking +1

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