Timo Lüddecke

Orcid: 0000-0002-1643-7827

According to our database1, Timo Lüddecke authored at least 24 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Computer Vision for Primate Behavior Analysis in the Wild.
CoRR, 2024

2023
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs.
CoRR, 2023

Vibroacoustic Frequency Response Prediction with Query-based Operator Networks.
CoRR, 2023

GPT4GEO: How a Language Model Sees the World's Geography.
CoRR, 2023

2022
Image Segmentation Using Text and Image Prompts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Self-supervised Representation Learning of Neuronal Morphologies.
CoRR, 2021

Prompt-Based Multi-Modal Image Segmentation.
CoRR, 2021

3D Object Classification via Part Graphs.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

The Role of Data for One-Shot Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Fine-grained action plausibility rating.
Robotics Auton. Syst., 2020

One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other Algorithms.
Frontiers Neurorobotics, 2020

One-shot path planning for multi-agent systems using fully convolutional neural network.
CoRR, 2020

One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Action-oriented Scene Understanding.
PhD thesis, 2019

Context-based affordance segmentation from 2D images for robot actions.
Robotics Auton. Syst., 2019

Deep Metadata Fusion for Traffic Light to Lane Assignment.
IEEE Robotics Autom. Lett., 2019

Attention on Abstract Visual Reasoning.
CoRR, 2019

Distributional semantics of objects in visual scenes in comparison to text.
Artif. Intell., 2019

2017
Learning to Label Affordances from Simulated and Real Data.
CoRR, 2017

Part-driven Visual Perception of 3D Objects.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Learning to Segment Affordances.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Convolutional Neural Networks for Movement Prediction in Videos.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

2014
An Exploratory Search User Interface Concept Supporting Vague Querying and a Novel Result Representation.
Proceedings of the Workshop "Beyond single-shot text queries: bridging the gap(s) between research communities" co-located with iConference 2014, 2014

Can Cosegmentation Improve the Object Detection Quality?
Proceedings of the Pattern Recognition - 36th German Conference, 2014


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