10 citations · 41 across the 20 of their papers we have counts for
20 papers
A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations
Lukas Rottkamp, Matthias Schubert
Accurate spatio-temporal information about the current situation is crucial for smart city applications such as modern routing algorithms. Often, this information describes the sta…
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…
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
Yatin Chaudhary, Pranav Rai, Matthias Schubert +2
In this work, we combine the two paradigms: Federated Learning (FL) and Continual Learning (CL) for text classification task in cloud-edge continuum. The objective of Federated Con…
InstanceFormer: An Online Video Instance Segmentation Framework
Rajat Koner, Tanveer Hannan, Suprosanna Shit +4
Recent transformer-based offline video instance segmentation (VIS) approaches achieve encouraging results and significantly outperform online approaches. However, their reliance on…