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ORCIDTimo Lüddecke
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2020 – today
- 2024
[c10]Jonathan Roberts, Timo Lüddecke, Rehan Sheikh, Kai Han, Samuel Albanie:
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs. CVPR Workshops 2024: 554-563- [i9]Richard Vogg, Timo Lüddecke, Jonathan Henrich, Sharmita Dey, Matthias Nuske, Valentin Hassler, Derek Murphy, Julia Fischer, Julia Ostner, Oliver Schülke, Peter M. Kappeler, Claudia Fichtel, Alexander Gail, Stefan Treue, Hansjörg Scherberger, Florentin Wörgötter, Alexander S. Ecker:
Computer Vision for Primate Behavior Analysis in the Wild. CoRR abs/2401.16424 (2024) - 2023
- [j6]Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker:
Self-Supervised Graph Representation Learning for Neuronal Morphologies. Trans. Mach. Learn. Res. 2023 (2023) - [i8]Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie:
GPT4GEO: How a Language Model Sees the World's Geography. CoRR abs/2306.00020 (2023) - [i7]Jan van Delden, Julius Schultz, Christopher Blech, Sabine C. Langer, Timo Lüddecke:
Vibroacoustic Frequency Response Prediction with Query-based Operator Networks. CoRR abs/2310.05469 (2023) - [i6]Jonathan Roberts, Timo Lüddecke, Rehan Sheikh, Kai Han, Samuel Albanie:
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs. CoRR abs/2311.14656 (2023) - 2022
- [c9]Timo Lüddecke, Alexander S. Ecker:
Image Segmentation Using Text and Image Prompts. CVPR 2022: 7076-7086 - 2021
- [c8]Timo Lüddecke, Alexander S. Ecker:
The Role of Data for One-Shot Semantic Segmentation. CVPR Workshops 2021: 2653-2658 - [c7]Florian Teich, Timo Lüddecke, Florentin Wörgötter:
3D Object Classification via Part Graphs. VISIGRAPP (5: VISAPP) 2021: 417-426 - [i5]Timo Lüddecke, Alexander S. Ecker:
Prompt-Based Multi-Modal Image Segmentation. CoRR abs/2112.10003 (2021) - [i4]Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker:
Self-supervised Representation Learning of Neuronal Morphologies. CoRR abs/2112.12482 (2021) - 2020
- [j5]Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke, Minija Tamosiunaite, Florentin Wörgötter:
One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other Algorithms. Frontiers Neurorobotics 14: 600984 (2020) - [j4]Timo Lüddecke, Florentin Wörgötter:
Fine-grained action plausibility rating. Robotics Auton. Syst. 129: 103511 (2020) - [c6]Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke, Minija Tamosiunaite, Florentin Wörgötter:
One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks. ICRA 2020: 1460-1466 - [i3]Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke, Minija Tamosiunaite, Florentin Wörgötter:
One-shot path planning for multi-agent systems using fully convolutional neural network. CoRR abs/2004.00568 (2020)
2010 – 2019
- 2019
- [b1]Timo Lüddecke:
Action-oriented Scene Understanding. University of Göttingen, Germany, 2019 - [j3]Timo Lüddecke, Alejandro Agostini, Michael Fauth, Minija Tamosiunaite, Florentin Wörgötter:
Distributional semantics of objects in visual scenes in comparison to text. Artif. Intell. 274: 44-65 (2019) - [j2]Tristan Langenberg
, Timo Lüddecke, Florentin Wörgötter:
Deep Metadata Fusion for Traffic Light to Lane Assignment. IEEE Robotics Autom. Lett. 4(2): 973-980 (2019) - [j1]Timo Lüddecke, Tomas Kulvicius, Florentin Wörgötter:
Context-based affordance segmentation from 2D images for robot actions. Robotics Auton. Syst. 119: 92-107 (2019) - [i2]Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel:
Attention on Abstract Visual Reasoning. CoRR abs/1911.05990 (2019) - 2017
- [c5]Alexander Warnecke, Timo Lüddecke, Florentin Wörgötter:
Convolutional Neural Networks for Movement Prediction in Videos. GCPR 2017: 215-225 - [c4]Timo Lüddecke, Florentin Wörgötter:
Learning to Segment Affordances. ICCV Workshops 2017: 769-776 - [c3]Frithjof Gressmann, Timo Lüddecke, Tatyana Ivanovska, Markus Schoeler, Florentin Wörgötter:
Part-driven Visual Perception of 3D Objects. VISIGRAPP (5: VISAPP) 2017: 370-377 - [i1]Timo Lüddecke, Florentin Wörgötter:
Learning to Label Affordances from Simulated and Real Data. CoRR abs/1709.08872 (2017) - 2014
- [c2]Timo Lüddecke:
Can Cosegmentation Improve the Object Detection Quality? GCPR 2014: 722-728 - [c1]Timo Lüddecke, Markus Jüttner, Marcus Nitsche, Andreas Nürnberger:
An Exploratory Search User Interface Concept Supporting Vague Querying and a Novel Result Representation. MindTheGap@iConference 2014: 51-56
Coauthor Index
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