5 citations
8 papers
Fast 3D Foundation Model Initialized Gaussian Splatting
Anurag Dalal, Daniel Hagen, Kjell G. Robbersmyr +2
This paper introduces a fast method for high-quality 3D Gaussian Splatting (3DGS) reconstruction without traditional Structure-from-Motion (SfM). The proposed approach leverages 3D…
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data
Mulugeta Weldezgina Asres, Christian Walter Omlin, The CMS-HCAL Collaboration
Extracting anomaly causality facilitates diagnostics once monitoring systems detect system faults. Identifying anomaly causes in large systems involves investigating a broader set…
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy Versus Performance
Mulugeta Weldezgina Asres, Lei Jiao, Christian Walter Omlin
Recent advancements in artificial intelligence hold ample potential for monitoring applications using surveillance cameras. However, concerns about privacy and model bias have made…
Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
Vojtech Halenka, Mohammadreza Amini, Per-Arne Andersen +2
All applications in fifth-generation (5G) networks rely on stable radio-frequency (RF) environments to support mission-critical services in mobility, automation, and connected inte…
Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets
Feodor Svetlanov Konomaev, Mithuss Tharmalingam, Kjetil M. D. Hals
Non-collinear antiferromagnets (NCAFMs) are appealing for antiferromagnetic spintronics, as they combine the advantages of collinear antiferromagnets with novel emergent phenomena…
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance
Karl Audun Borgersen, Morten Goodwin
For consumer usage of locally deployed LLMs, the GGUF format and k\_quantization are invaluable tools for maintaining the performance of the original model while reducing it to siz…