3 papers
cs.CV2026
AQ3D: Adaptive Query Transformer for 3D Instance Segmentation
Keno Moenck, Thorsten Schüppstuhl
Transformer-based decoders for 3D instance segmentation typically commit to a fixed number of queries and positional modeling calibrated on the training distribution rather than on…
cs.CV2026
Open-vocabulary 3D scene perception in industrial environments
Keno Moenck, Adrian Philip Florea, Julian Koch +1
Autonomous vision applications in production, intralogistics, or manufacturing environments require perception capabilities beyond a small, fixed set of classes. Recent open-vocabu…
cs.LG2026
CUROCKET: Optimizing ROCKET for GPU
Ole Stüven, Keno Moenck, Thorsten Schüppstuhl
ROCKET (RandOm Convolutional KErnel Transform) is a feature extraction algorithm created for Time Series Classification (TSC), published in 2019. It applies convolution with random…