Ronny Hug

According to our database, Ronny Hug authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Utilizing dataset affinity prediction in object detection to assess training data.

Stefan Becker, Jens Bayer, Ronny Hug, Wolfgang Hübner, Michael Arens

CoRR, 2023

2022

Probabilistic Parametric Curves for Sequence Modeling.

Ronny Hug

PhD thesis, 2022

Bézier Curve Gaussian Processes.

Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens, Jürgen Beyerer

CoRR, 2022

2021

Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction.

Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens

IEEE Access, 2021

Generating Synthetic Training Data for Deep Learning-based UAV Trajectory Prediction.

Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan Tran Morris

Proceedings of the 2nd International Conference on Robotics, 2021

MissFormer: (In-)Attention-Based Handling of Missing Observations for Trajectory Filtering and Prediction.

Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan Tran Morris

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Handling Missing Observations with an RNN-based Prediction-Update Cycle.

Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan Tran Morris

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks.

Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens

CoRR, 2020

Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction.

Ronny Hug, Wolfgang Hübner, Michael Arens

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tiefe neuronale Netze.

Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß

Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

Grundlagen des Maschinellen Lernens.

Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß, Stefan Rüping

Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019

Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures.

Ronny Hug, Wolfgang Hübner, Michael Arens

CoRR, 2019

An RNN-Based IMM Filter Surrogate.

Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens

Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

2018

An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark.

Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens

CoRR, 2018

Particle-based pedestrian path prediction using LSTM-MDL models.

Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens

CoRR, 2018

Particle-based Pedestrian Path Prediction using LSTM-MDL Models.

Ronny Hug, Stefan Becker, Wolfgang Htibner, Michael Arens

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark.

Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Supporting generative models of spatial behavior by user interaction.

Ronny Hug, Wolfgang Hübner, Michael Arens

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2015

Towards Web-Based Semantic Knowledge Completion for Adaptive World Modeling in Cognitive Systems.

Achim Kuwertz, Cornelius Goldbeck, Ronny Hug, Jürgen Beyerer

Proceedings of the UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, 2015

Text Understanding for Programming in Natural Language: Control Structures.

Mathias Landhaeusser, Ronny Hug

Proceedings of the 4th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2015