Felix Sattler

According to our database, Felix Sattler authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

Embedded 3D reconstruction of dynamic objects in real time for maritime situational awareness pictures.

Felix Sattler, Borja Carrillo-Perez, Sarah Barnes, Karsten Stebner, Maurice Stephan, Gregor Lux

Vis. Comput., February, 2024

Automatic occlusion removal from 3D maps for maritime situational awareness.

Felix Sattler, Borja Carrillo-Perez, Maurice Stephan, Sarah Barnes

CoRR, 2024

UTrack: Multi-Object Tracking with Uncertain Detections.

Edgardo Solano-Carrillo, Felix Sattler, Antje Alex, Alexander Klein, Bruno Pereira Costa, Ángel Bueno Rodríguez, Jannis Stoppe

CoRR, 2024

2^nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results.

Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning.

Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek

IEEE Trans. Neural Networks Learn. Syst., September, 2023

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024.

Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann

CoRR, 2023

Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users.

Peter Udo Diehl, Hannes Zilly, Felix Sattler, Yosef Singer, Kevin Kepp, Mark Berry, Henning Hasemann, Marlene Zippel, Müge Kaya, Paul Meyer-Rachner, Annett Pudszuhn, Veit M. Hofmann, Matthias Vormann, Elias Sprengel

CoRR, 2023

A Maritime Situational Awareness Framework Using Dynamic 3D Reconstruction in Real-Time.

Felix Sattler, Sarah Barnes, Maurice Stephan

Proceedings of the 27th International Conference Information Visualisation, 2023

2022

CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding.

Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek

IEEE Trans. Netw. Sci. Eng., 2022

2021

Concepts for efficient, adaptive and robust deep learning from distributed data.

Felix Sattler

PhD thesis, 2021

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints.

Felix Sattler, Klaus-Robert Müller, Wojciech Samek

IEEE Trans. Neural Networks Learn. Syst., 2021

Reward-Based 1-bit Compressed Federated Distillation on Blockchain.

Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Wojciech Samek

CoRR, 2021

2020

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data.

Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek

IEEE Trans. Neural Networks Learn. Syst., 2020

Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements.

Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand

npj Digit. Medicine, 2020

Communication-Efficient Federated Distillation.

Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek

CoRR, 2020

Trends and Advancements in Deep Neural Network Communication.

Felix Sattler, Thomas Wiegand, Wojciech Samek

CoRR, 2020

Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates.

David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Müller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek

Proceedings of the IEEE International Conference on Image Processing, 2020

On the Byzantine Robustness of Clustered Federated Learning.

Felix Sattler, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints.

Felix Sattler, Klaus-Robert Müller, Wojciech Samek

CoRR, 2019

Robust and Communication-Efficient Federated Learning from Non-IID Data.

Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek

CoRR, 2019

Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication.

Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek

Proceedings of the International Joint Conference on Neural Networks, 2019