Manuel Traub

According to our database, Manuel Traub authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Loci-Segmented: Improving Scene Segmentation Learning.

Manuel Traub, Frederic Becker, Adrian Sauter, Sebsastian Otte, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Learning Object Permanence from Videos via Latent Imaginations.

Manuel Traub, Frederic Becker, Sebsastian Otte, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Loci-Segmented: Improving Scene Segmentation Learning.

Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz

CoRR, 2023

Looping LOCI: Developing Object Permanence from Videos.

Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz

CoRR, 2023

Learning What and Where: Disentangling Location and Identity Tracking Without Supervision.

Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning What and Where - Unsupervised Disentangling Location and Identity Tracking.

Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz

CoRR, 2022

2021

Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks.

Manuel Traub, Robert Legenstein, Sebastian Otte

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Dynamic Action Inference with Recurrent Spiking Neural Networks.

Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning.

Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets.

Manuel Traub, Johannes Stegmaier

Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Learning Precise Spike Timings with Eligibility Traces.

Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2018

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.

Benjamin Schott, Manuel Traub, Cornelia Schlagenhauf, Masanari Takamiya, Thomas Antritter, Andreas Bartschat, Katharina Löffler, Denis Blessing, Jens C. Otte, Andrei Kobitski, G. Ulrich Nienhaus, Uwe Strähle, Ralf Mikut, Johannes Stegmaier

PLoS Comput. Biol., 2018

2016

Automation strategies for large-scale 3D image analysis.

Johannes Stegmaier, Benjamin Schott, Eduard Hübner, Manuel Traub, Maryam Shahid, Masanari Takamiya, Andrei Kobitski, Volker Hartmann, Rainer Stotzka, Jos van Wezel, Achim Streit, G. Ulrich Nienhaus, Uwe Strähle, Markus Reischl, Ralf Mikut

Autom., 2016