PD Dr.-Ing. Jürgen Seiler

Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

SEE: An Efficient Feature-Based Framework for Performance Prediction in Semantic Segmentation (2026) Deichsel F, Ren Y, Beckerle P, Seiler J, Kaup A Conference contribution Content Adaptive Switchable Hyperprior Networks for Learned Image Compression (2026) Deniffel S, Seiler J, Kaup A Conference contribution, Conference Contribution Anti-Aliasing Snapshot HDR Imaging Using Non-Regular Sensing (2025) Stürzenhofäcker T, Klimm M, Seiler J, Kaup A Conference contribution, Conference Contribution Domain Adaptation for Camera-Specific Image Characteristics using Shallow Discriminators (2025) Gruber M, Seiler J, Kaup A Conference contribution, Conference Contribution Enhancing LLM Inference with Human Expert Knowledge: A Case Study on Multi-Agent Robotics Fault Diagnosis and Prediction (2025) Ren Y, Deichsel F, Seiler J, Kaup A, Beckerle P Conference contribution, Conference Contribution Networked Systems Diagnostics: A Fusion of Failure Mode and Effects Analysis and a Delphi Expert Study (2025) Ren Y, Deichsel F, Hopf V, Seiler J, Kaup A, Beckerle P Conference contribution Towards Object Segmentation Mask Selection Using Specular Reflections (2025) Kossira K, Zhu Y, Seiler J, Kaup A Conference contribution, Conference Contribution Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction Network (2025) Sippel F, Seiler J, Kaup A Journal article High-resolution hyperspectral video imaging using a hexagonal camera array (2024) Sippel F, Seiler J, Kaup A Journal article Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays (2024) Sippel F, Seiler J, Kaup A Conference contribution, Conference Contribution