2 citations · 2 across the 5 of their papers we have counts for
5 papers
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting
Huawei Sun, Bora Kunter Sahin, Georg Stettinger +3
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…
Autoregressive Policy Optimization for Constrained Allocation Tasks
David Winkel, Niklas Strauß, Maximilian Bernhard +3
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…
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation
Tanveer Hannan, Rajat Koner, Maximilian Bernhard +5
Recent trends in Video Instance Segmentation (VIS) have seen a growing reliance on online methods to model complex and lengthy video sequences. However, the degradation of represen…
MapFormer: Boosting Change Detection by Using Pre-change Information
Maximilian Bernhard, Niklas Strauß, Matthias Schubert
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 f…
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)
Maximilian Bernhard, Matthias Schubert
Recently, the availability of remote sensing imagery from aerial vehicles and satellites constantly improved. For an automated interpretation of such data, deep-learning-based obje…