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Maximilian Bernhard

3 accepted papers

2025

CaRaFFusion: Improving 2D Semantic Segmentation With Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting

RA-L 2025

Segmenting objects in an environment is a crucial task for autonomous driving and robotics, as it enables a better understanding of the surroundings of each agent. Although camera sensors provide rich visual details, they are vulnerable to adverse weather conditions. In contrast, radar sensors remai

Cited by 4SourceScholar
2024

Autoregressive Policy Optimization for Constrained Allocation Tasks

NeurIPS 2024poster

Allocation tasks represent a class of problems where a limited amount of resources must be allocated to a set of entities at each time step. Prominent examples of this task include portfolio optimization or distributing computational workloads across servers. Allocation tasks are typically bound by…

2023

MapFormer: Boosting Change Detection by Using Pre-change Information

ICCV 2023poster

Change detection in remote sensing imagery is essential for a variety of applications such as urban planning, disaster management, and climate research. However, existing methods for identifying semantically changed areas overlook the availability of semantic information in the form of existing maps…

Cited by 8PDFcodeScholar