Jakubik, Johannes

10 publications

JAIR 2025 AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger

ECML-PKDD 2025 Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation Clive Tinashe Marimo, Benedikt Blumenstiel, Maximilian Nitsche, Johannes Jakubik, Thomas Brunschwiler

JAIR 2025 Improving Label Error Detection and Elimination with Uncertainty Quantification Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger

CVPRW 2025 TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data Benedikt Blumenstiel, Paolo Fraccaro, Valerio Marsocci, Johannes Jakubik, Stefano Maurogiovanni, Mikolaj Czerkawski, Rocco Sedona, Gabriele Cavallaro, Thomas Brunschwiler, Juan Bernabé-Moreno, Nicolas Longépé

ICCV 2025 TerraMind: Large-Scale Generative Multimodality for Earth Observation Johannes Jakubik, Felix Yang, Benedikt Blumenstiel, Erik Scheurer, Rocco Sedona, Stefano Maurogiovanni, Jente Bosmans, Nikolaos Dionelis, Valerio Marsocci, Niklas Kopp, Rahul Ramachandran, Paolo Fraccaro, Thomas Brunschwiler, Gabriele Cavallaro, Juan Bernabe-Moreno, Nicolas Longépé

AAAI 2024 Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl

AAAI 2023 Learning to Defer with Limited Expert Predictions Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl

NeurIPS 2023 What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation Benedikt Blumenstiel, Johannes Jakubik, Hilde Kuehne, Michael Vössing

AAAI 2022 Designing a Human-in-the-Loop System for Object Detection in Floor Plans Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr

IJCAI 2022 Forming Effective Human-AI Teams: Building Machine Learning Models That Complement the Capabilities of Multiple Experts Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger