Can Cosegmentation Improve the Object Detection Quality? - Timo Lüddecke (GCPR, 2014)

An Exploratory Search User Interface Concept Supporting Vague Querying and a Novel Result Representation. - Timo Lüddecke; Markus Jüttner; Marcus Nitsche; Andreas Nürnberger (MindTheGap@iConference, 2014)

Convolutional Neural Networks for Movement Prediction in Videos. - Alexander Warnecke; Timo Lüddecke; Florentin Wörgötter (GCPR, 2017)

Learning to Segment Affordances. - Timo Lüddecke; Florentin Wörgötter (ICCV Workshops, 2017)

Part-driven Visual Perception of 3D Objects. - Frithjof Gressmann; Timo Lüddecke; Tatyana Ivanovska; Markus Schoeler; Florentin Wörgötter (VISIGRAPP (5: VISAPP), 2017)

Learning to Label Affordances from Simulated and Real Data. - Timo Lüddecke; Florentin Wörgötter (CoRR, 2017)

Distributional semantics of objects in visual scenes in comparison to text. - Timo Lüddecke; Alejandro Agostini; Michael Fauth; Minija Tamosiunaite; Florentin Wörgötter (Artif. Intell., 2019)

Attention on Abstract Visual Reasoning. - Lukas Hahne; Timo Lüddecke; Florentin Wörgötter; David Kappel (CoRR, 2019)

Deep Metadata Fusion for Traffic Light to Lane Assignment. - Tristan Langenberg; Timo Lüddecke; Florentin Wörgötter (IEEE Robotics Autom. Lett., 2019)

Context-based affordance segmentation from 2D images for robot actions. - Timo Lüddecke; Tomas Kulvicius; Florentin Wörgötter (Robotics Auton. Syst., 2019)

Action-oriented Scene Understanding. - Timo Lüddecke (2019)

One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks. - Tomas Kulvicius; Sebastian Herzog; Timo Lüddecke; Minija Tamosiunaite; Florentin Wörgötter (ICRA, 2020)

One-shot path planning for multi-agent systems using fully convolutional neural network. - Tomas Kulvicius; Sebastian Herzog; Timo Lüddecke; Minija Tamosiunaite; Florentin Wörgötter (CoRR, 2020)

One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other Algorithms. - Tomas Kulvicius; Sebastian Herzog; Timo Lüddecke; Minija Tamosiunaite; Florentin Wörgötter (Frontiers Neurorobotics, 2020)

Fine-grained action plausibility rating. - Timo Lüddecke; Florentin Wörgötter (Robotics Auton. Syst., 2020)

The Role of Data for One-Shot Semantic Segmentation. - Timo Lüddecke; Alexander S. Ecker (CVPR Workshops, 2021)

3D Object Classification via Part Graphs. - Florian Teich; Timo Lüddecke; Florentin Wörgötter (VISIGRAPP (5: VISAPP), 2021)

Prompt-Based Multi-Modal Image Segmentation. - Timo Lüddecke; Alexander S. Ecker (CoRR, 2021)

Self-supervised Representation Learning of Neuronal Morphologies. - Marissa A. Weis; Laura Pede; Timo Lüddecke; Alexander S. Ecker (CoRR, 2021)

Image Segmentation Using Text and Image Prompts. - Timo Lüddecke; Alexander S. Ecker (CVPR, 2022)

GPT4GEO: How a Language Model Sees the World's Geography. - Jonathan Roberts 004; Timo Lüddecke; Sowmen Das; Kai Han 001; Samuel Albanie (CoRR, 2023)

Vibroacoustic Frequency Response Prediction with Query-based Operator Networks. - Jan van Delden; Julius Schultz; Christopher Blech; Sabine C. Langer; Timo Lüddecke (CoRR, 2023)

Self-Supervised Graph Representation Learning for Neuronal Morphologies. - Marissa A. Weis; Laura Pede; Timo Lüddecke; Alexander S. Ecker (Trans. Mach. Learn. Res., 2023)

Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs. - Jonathan Roberts 004; Timo Lüddecke; Rehan Sheikh; Kai Han 001; Samuel Albanie (CVPR Workshops, 2024)

Learning to Predict Structural Vibrations. - Jan van Delden; Julius Schultz; Christopher Blech; Sabine C. Langer; Timo Lüddecke (NeurIPS, 2024)

Computer Vision for Primate Behavior Analysis in the Wild. - 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; et al. (CoRR, 2024)

Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design. - Henrik Ebel; Jan van Delden; Timo Lüddecke; Aditya Borse; Rutwik Gulakala; Marcus Stoffel; Manish Yadav; Merten Stender; Leon Schindler; Kristin Miriam de Payrebrune; Maximilian Raff; C. David Remy; et al. (CoRR, 2024)

The impact of AI on engineering design procedures for dynamical systems. - Kristin Miriam de Payrebrune; Kathrin Flaßkamp; Tom Ströhla; Thomas Sattel; Dieter Bestle; Benedict Röder; Peter Eberhard; Sebastian Peitz; Marcus Stoffel; Rutwik Gulakala; Aditya Borse; Meike Wohlleben; et al. (CoRR, 2024)

Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery. - Tao Jiang 039; Maximilian Freudenberg; Christoph Kleinn; Timo Lüddecke; Alexander S. Ecker; Nils Nölke (Ecol. Informatics, 2025)

Minimizing Structural Vibrations via Guided Flow Matching Design Optimization. - Jan van Delden; Julius Schultz; Sebastian Rothe; Christian Libner; Sabine C. Langer; Timo Lüddecke (CoRR, 2025)