| 2023 | IROS | Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. | Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard |
| 2022 | IROS | Realistic Real-Time Simulation of RGB and Depth Sensors for Dynamic Scenarios using Augmented Image Based Rendering. | Johan Vertens, Wolfram Burgard |
| 2020 | ICRA | Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. | Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard |
| 2020 | IROS | HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. | Johan Vertens, Jannik Zrn, Wolfram Burgard |
| 2019 | ICRA | A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. | Alexander Schaefer, Johan Vertens, Daniel Bscher, Wolfram Burgard |
| 2017 | IROS | SMSnet: Semantic motion segmentation using deep convolutional neural networks. | Johan Vertens, Abhinav Valada, Wolfram Burgard |
| 2017 | ICRA | AdapNet: Adaptive semantic segmentation in adverse environmental conditions. | Abhinav Valada, Johan Vertens, Ankit Dhall, Wolfram Burgard |
| 2017 | ISRR | Perspectives on Deep Multimodel Robot Learning. | Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira |