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Felix Sattler
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2020 – today
- 2024
- [j6]Felix Sattler, Borja Carrillo-Perez, Sarah Barnes, Karsten Stebner, Maurice Stephan, Gregor Lux:
Embedded 3D reconstruction of dynamic objects in real time for maritime situational awareness pictures. Vis. Comput. 40(2): 571-584 (2024) - [c5]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:
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) 2024: 869-891 - [i12]Edgardo Solano-Carrillo, Felix Sattler, Antje Alex, Alexander Klein, Bruno Pereira Costa, Ángel Bueno Rodríguez, Jannis Stoppe:
UTrack: Multi-Object Tracking with Uncertain Detections. CoRR abs/2408.17098 (2024) - [i11]Felix Sattler, Borja Carrillo-Perez, Maurice Stephan, Sarah Barnes:
Automatic occlusion removal from 3D maps for maritime situational awareness. CoRR abs/2409.03451 (2024) - 2023
- [j5]Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek:
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5531-5543 (2023) - [c4]Felix Sattler, Sarah Barnes, Maurice Stephan:
A Maritime Situational Awareness Framework Using Dynamic 3D Reconstruction in Real-Time. IV 2023: 334-339 - [i10]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:
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users. CoRR abs/2308.11456 (2023) - [i9]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:
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. CoRR abs/2311.14762 (2023) - 2022
- [j4]Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek:
CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding. IEEE Trans. Netw. Sci. Eng. 9(4): 2025-2038 (2022) - 2021
- [b1]Felix Sattler:
Concepts for efficient, adaptive and robust deep learning from distributed data. Technical University of Berlin, Germany, 2021 - [j3]Felix Sattler, Klaus-Robert Müller, Wojciech Samek:
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3710-3722 (2021) - [i8]Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek:
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. CoRR abs/2102.02514 (2021) - [i7]Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Wojciech Samek:
Reward-Based 1-bit Compressed Federated Distillation on Blockchain. CoRR abs/2106.14265 (2021) - 2020
- [j2]Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand:
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. npj Digit. Medicine 3 (2020) - [j1]Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3400-3413 (2020) - [c3]Felix Sattler, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek:
On the Byzantine Robustness of Clustered Federated Learning. ICASSP 2020: 8861-8865 - [c2]David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Müller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek:
Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates. ICIP 2020: 21-25 - [i6]Felix Sattler, Thomas Wiegand, Wojciech Samek:
Trends and Advancements in Deep Neural Network Communication. CoRR abs/2003.03320 (2020) - [i5]Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand:
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements. CoRR abs/2004.11841 (2020) - [i4]Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek:
Communication-Efficient Federated Distillation. CoRR abs/2012.00632 (2020)
2010 – 2019
- 2019
- [c1]Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. IJCNN 2019: 1-8 - [i3]Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Robust and Communication-Efficient Federated Learning from Non-IID Data. CoRR abs/1903.02891 (2019) - [i2]Felix Sattler, Klaus-Robert Müller, Wojciech Samek:
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints. CoRR abs/1910.01991 (2019) - 2018
- [i1]Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. CoRR abs/1805.08768 (2018)
Coauthor Index
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last updated on 2024-11-14 21:59 CET by the dblp team
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