Sebastian Cygert

Orcid: 0000-0002-4763-8381

According to our database1, Sebastian Cygert authored at least 26 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning.
CoRR, 2024

Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning.
IEEE Access, 2024

2023
Revisiting Supervision for Continual Representation Learning.
CoRR, 2023

Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation.
CoRR, 2023

Generalized Continual Category Discovery.
CoRR, 2023

Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech.
CoRR, 2023

Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Looking through the past: better knowledge retention for generative replay in continual learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Creating New Voices using Normalizing Flows.
Proceedings of the Interspeech 2022, 2022

Robust Object Detection with Multi-input Multi-output Faster R-CNN.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021
Towards Cancer Patients Classification Using Liquid Biopsy.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift.
Proceedings of the International Joint Conference on Neural Networks, 2021

Robustness in Compressed Neural Networks for Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Toward Robust Pedestrian Detection With Data Augmentation.
IEEE Access, 2020

Evaluating Calibration and Robustness of Pedestrian Detectors.
Proceedings of the Multimedia Communications, Services and Security, 2020

2019
Wind Turbines Modeling as the Tool for Developing Algorithms of Processing their Video Recordings.
Proceedings of the Signal Processing: Algorithms, 2019

Style Transfer for Detecting Vehicles with Thermal Camera.
Proceedings of the Signal Processing: Algorithms, 2019

Comparative study on the effectiveness of various types of road traffic intensity detectors.
Proceedings of the 6th International Conference on Models and Technologies for Intelligent Transportation Systems, 2019

2018
Vehicle detector training with labels derived from background subtraction algorithms in video surveillance.
Proceedings of the Signal Processing: Algorithms, 2018

Vocalic Segments Classification Assisted by Mouth Motion Capture.
Proceedings of the 11th International Conference on Human System Interaction, 2018

2017
Shape-Based Pose Estimation of Robotic Surgical Instruments.
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017

2015
Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units.
Concurr. Comput. Pract. Exp., 2015

2013
Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation.
Proceedings of the Parallel Processing and Applied Mathematics, 2013

Towards an Efficient Multi-Stage Riemann Solver for Nuclear Physics Simulations.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013


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