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ORCIDSebastian Cygert
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2020 – today
- 2024
[j3]Valeriya Khan
, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski:
Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning. IEEE Access 12: 45309-45317 (2024)- [c23]Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski:
Revisiting Supervision for Continual Representation Learning. ECCV (6) 2024: 181-197 - [c22]Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski:
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery. ECCV (11) 2024: 320-337 - [c21]Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski:
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. ICLR 2024 - [c20]Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. WACV 2024: 1966-1976 - [i16]Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski:
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. CoRR abs/2401.10191 (2024) - [i15]Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert:
MagMax: Leveraging Model Merging for Seamless Continual Learning. CoRR abs/2407.06322 (2024) - [i14]Sebastian Cygert, Damian Sójka, Tomasz Trzcinski, Bartlomiej Twardowski:
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection. CoRR abs/2407.14231 (2024) - [i13]Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski:
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning. CoRR abs/2409.18265 (2024) - 2023
- [c19]Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. ICCV (Workshops) 2023: 3483-3487 - [c18]Valeriya Khan, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
Looking through the past: better knowledge retention for generative replay in continual learning. ICCV (Workshops) 2023: 3488-3492 - [c17]Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. ICCV (Workshops) 2023: 3504-3509 - [c16]Dariusz Piotrowski, Renard Korzeniowski, Alessio Falai, Sebastian Cygert, Kamil Pokora, Georgi Tinchev, Ziyao Zhang, Kayoko Yanagisawa:
Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech. ICONIP (7) 2023: 252-264 - [c15]Guangyan Zhang, Thomas Merritt, Manuel Sam Ribeiro, Biel Tura Vecino, Kayoko Yanagisawa, Kamil Pokora, Abdelhamid Ezzerg, Sebastian Cygert, Ammar Abbas, Piotr Bilinski, Roberto Barra-Chicote, Daniel Korzekwa, Jaime Lorenzo-Trueba:
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech. INTERSPEECH 2023: 27-31 - [i12]Guangyan Zhang, Thomas Merritt, Manuel Sam Ribeiro, Biel Tura Vecino, Kayoko Yanagisawa, Kamil Pokora, Abdelhamid Ezzerg, Sebastian Cygert, Ammar Abbas, Piotr Bilinski, Roberto Barra-Chicote, Daniel Korzekwa, Jaime Lorenzo-Trueba:
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech. CoRR abs/2307.16679 (2023) - [i11]Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. CoRR abs/2308.09544 (2023) - [i10]Daniel Marczak, Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski:
Generalized Continual Category Discovery. CoRR abs/2308.12112 (2023) - [i9]Dariusz Piotrowski, Renard Korzeniowski, Alessio Falai, Sebastian Cygert, Kamil Pokora, Georgi Tinchev, Ziyao Zhang, Kayoko Yanagisawa:
Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech. CoRR abs/2309.08255 (2023) - [i8]Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski:
Looking through the past: better knowledge retention for generative replay in continual learning. CoRR abs/2309.10012 (2023) - [i7]Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. CoRR abs/2309.10109 (2023) - [i6]Damian Sójka, Yuyang Liu, Dipam Goswami, Sebastian Cygert, Bartlomiej Twardowski, Joost van de Weijer:
Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation. CoRR abs/2310.13533 (2023) - [i5]Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski:
Revisiting Supervision for Continual Representation Learning. CoRR abs/2311.13321 (2023) - [i4]Piotr Bilinski, Thomas Merritt, Abdelhamid Ezzerg, Kamil Pokora, Sebastian Cygert, Kayoko Yanagisawa, Roberto Barra-Chicote, Daniel Korzekwa:
Creating New Voices using Normalizing Flows. CoRR abs/2312.14569 (2023) - 2022
- [c14]Sebastian Cygert, Andrzej Czyzewski:
Robust Object Detection with Multi-input Multi-output Faster R-CNN. ICIAP (1) 2022: 572-583 - [c13]Piotr Bilinski, Thomas Merritt, Abdelhamid Ezzerg, Kamil Pokora, Sebastian Cygert, Kayoko Yanagisawa, Roberto Barra-Chicote, Daniel Korzekwa:
Creating New Voices using Normalizing Flows. INTERSPEECH 2022: 2958-2962 - 2021
- [c12]Sebastian Cygert, Andrzej Czyzewski:
Robustness in Compressed Neural Networks for Object Detection. IJCNN 2021: 1-8 - [c11]Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski:
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. IJCNN 2021: 1-8 - [c10]Sebastian Cygert, Franciszek Górski, Piotr Juszczyk, Sebastian Lewalski, Krzysztof Pastuszak, Andrzej Czyzewski, Anna Supernat:
Towards Cancer Patients Classification Using Liquid Biopsy. PRIME@MICCAI 2021: 221-230 - [i3]Sebastian Cygert, Andrzej Czyzewski:
Robustness in Compressed Neural Networks for Object Detection. CoRR abs/2102.05509 (2021) - [i2]Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski:
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. CoRR abs/2106.00076 (2021) - [i1]Sebastian Cygert, Andrzej Czyzewski:
Robust Object Detection with Multi-input Multi-output Faster R-CNN. CoRR abs/2111.13065 (2021) - 2020
- [j2]Sebastian Cygert, Andrzej Czyzewski:
Toward Robust Pedestrian Detection With Data Augmentation. IEEE Access 8: 136674-136683 (2020) - [c9]Sebastian Cygert, Andrzej Czyzewski:
Evaluating Calibration and Robustness of Pedestrian Detectors. MCSS 2020: 98-111
2010 – 2019
- 2019
- [c8]Andrzej Czyzewski, Sebastian Cygert, Grzegorz Szwoch, Józef Kotus, Dawid Weber, Maciej Szczodrak, Damian Koszewski, Kazimierz Jamroz, Wojciech Kustra, Andrzej Sroczynski, Tomasz Smialkowski, Piotr Hoffmann:
Comparative study on the effectiveness of various types of road traffic intensity detectors. MT-ITS 2019: 1-7 - [c7]Piotr Sokolowski, Sebastian Cygert, Maciej Szczodrak:
Wind Turbines Modeling as the Tool for Developing Algorithms of Processing their Video Recordings. SPA 2019: 99-104 - [c6]Sebastian Cygert, Andrzej Czyzewski:
Style Transfer for Detecting Vehicles with Thermal Camera. SPA 2019: 218-222 - 2018
- [c5]Sebastian Cygert, Grzegorz Szwoch, Szymon Zaporowski, Andrzej Czyzewski:
Vocalic Segments Classification Assisted by Mouth Motion Capture. HSI 2018: 318-324 - [c4]Sebastian Cygert, Andrzej Czyzewski:
Vehicle detector training with labels derived from background subtraction algorithms in video surveillance. SPA 2018: 98-103 - 2017
- [c3]Daniel Wesierski, Sebastian Cygert:
Shape-Based Pose Estimation of Robotic Surgical Instruments. CARE/CLIP@MICCAI 2017: 3-15 - 2015
- [j1]Joanna Porter-Sobieraj, Sebastian Cygert, Daniel Kikola, Jan Sikorski, Marcin Slodkowski:
Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units. Concurr. Comput. Pract. Exp. 27(6): 1591-1602 (2015) - 2013
- [c2]Sebastian Cygert, Joanna Porter-Sobieraj, Daniel Kikola, Jan Sikorski, Marcin Slodkowski:
Towards an Efficient Multi-Stage Riemann Solver for Nuclear Physics Simulations. FedCSIS 2013: 441-446 - [c1]Sebastian Cygert, Daniel Kikola, Joanna Porter-Sobieraj, Jan Sikorski, Marcin Slodkowski:
Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation. PPAM (1) 2013: 500-509
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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