10 citations · 41 across the 20 of their papers we have counts for
7 papers · 1 filter
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…
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…
Box Supervised Video Segmentation Proposal Network
Tanveer Hannan, Rajat Koner, Jonathan Kobold +1
Video Object Segmentation (VOS) has been targeted by various fully-supervised and self-supervised approaches. While fully-supervised methods demonstrate excellent results, self-sup…
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information
Jason Jooste, Michael Fromm, Matthias Schubert
Monitoring of reforestation is currently being considerably streamlined through the use of drones and image recognition algorithms, which have already proven to be effective on col…