22k citations
- University of KaiserslauternDE125 papers
- Saarland UniversityDE41 papers
- Rheinland-Pfälzische Technische Universität Kaiserslautern-LandauDE25 papers
- University of Koblenz and LandauDE25 papers
- Technische Universität BerlinDE24 papers
- University of BremenDE23 papers
- Center for Scalable Data Analytics and Artificial IntelligenceDE16 papers
- Technische Universität DarmstadtDE11 papers
- Hamm-Lippstadt University of Applied SciencesDE9 papers
- Ludwig-Maximilians-Universität MünchenDE9 papers
- Technical University of MunichDE9 papers
- ETH ZurichCH8 papers
13 papers · 2 filters
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning
Arundhati S. Shanbhag, Brian B. Moser, Tobias C. Nauen +3
Diffusion models, celebrated for their generative capabilities, have recently demonstrated surprising effectiveness in image classification tasks by using Bayes' theorem. Yet, curr…
BRep Boundary and Junction Detection for CAD Reverse Engineering
Sk Aziz Ali, Mohammad Sadil Khan, Didier Stricker
In machining process, 3D reverse engineering of the mechanical system is an integral, highly important, and yet time consuming step to obtain parametric CAD models from 3D scans. T…
Webcam-based Pupil Diameter Prediction Benefits from Upscaling
Vijul Shah, Brian B. Moser, Ko Watanabe +1
Capturing pupil diameter is essential for assessing psychological and physiological states such as stress levels and cognitive load. However, the low resolution of images in eye da…
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
Reuben Dorent, Roya Khajavi, Tagwa Idris +24
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentati…
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping
Hiba Najjar, Francisco Mena, Marlon Nuske +1
Vegetation indices allow to efficiently monitor vegetation growth and agricultural activities. Previous generations of satellites were capturing a limited number of spectral bands,…
RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
Ramy Battrawy, René Schuster, Didier Stricker
The proposed RMS-FlowNet++ is a novel end-to-end learning-based architecture for accurate and efficient scene flow estimation that can operate on high-density point clouds. For hie…