Jonas Wurst

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Unsupervised Learning

Top Venues

IEEE Trans. Intell. Veh.

Publications

Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction. ITSC (2023)
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
Open-World Learning for Traffic Scenarios Categorisation. IEEE Trans. Intell. Veh. 8 (5) (2023)
Friedrich Kruber, Eduardo Sánchez Morales, Robin Egolf, Jonas Wurst, Samarjit Chakraborty, Michael Botsch
Micro- and Macroscopic Road Traffic Analysis using Drone Image Data. Leibniz Trans. Embed. Syst. 8 (1) (2022)
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. IV (2022)
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. ITSC (2022)
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. CoRR (2022)
Alberto Flores Fernández, Jonas Wurst, Eduardo Sánchez Morales, Michael Botsch, Christian Facchi, Andrés García Higuera
Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction. Sensors 22 (12) (2022)
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. CoRR (2022)
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. CoRR (2021)
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder. IV (2021)
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. IV (2021)
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder. CoRR (2021)
Friedrich Kruber, Jonas Wurst, Michael Botsch
An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization. CoRR (2020)
Jonas Wurst, Alberto Flores Fernández, Michael Botsch, Wolfgang Utschick
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images. CoRR (2020)
Jonas Wurst, Alberto Flores Fernández, Michael Botsch, Wolfgang Utschick
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images. IV (2020)
Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification. CoRR (2020)
Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification. IV (2019)
Friedrich Kruber, Jonas Wurst, Michael Botsch
An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization. ITSC (2018)