Towards an Efficient Multi-Stage Riemann Solver for Nuclear Physics Simulations. - Sebastian Cygert; Joanna Porter-Sobieraj; Daniel Kikola; Jan Sikorski; Marcin Slodkowski (FedCSIS, 2013)

Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation. - Sebastian Cygert; Daniel Kikola; Joanna Porter-Sobieraj; Jan Sikorski; Marcin Slodkowski (PPAM (1), 2013)

Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units. - Joanna Porter-Sobieraj; Sebastian Cygert; Daniel Kikola; Jan Sikorski; Marcin Slodkowski (Concurr. Comput. Pract. Exp., 2015)

Shape-Based Pose Estimation of Robotic Surgical Instruments. - Daniel Wesierski; Sebastian Cygert (CARE/CLIP@MICCAI, 2017)

Vocalic Segments Classification Assisted by Mouth Motion Capture. - Sebastian Cygert; Grzegorz Szwoch; Szymon Zaporowski; Andrzej Czyzewski (HSI, 2018)

Vehicle detector training with labels derived from background subtraction algorithms in video surveillance. - Sebastian Cygert; Andrzej Czyzewski (SPA, 2018)

Comparative study on the effectiveness of various types of road traffic intensity detectors. - Andrzej Czyzewski; Sebastian Cygert; Grzegorz Szwoch; Józef Kotus; Dawid Weber; Maciej Szczodrak; Damian Koszewski; Kazimierz Jamroz; Wojciech Kustra; Andrzej Sroczynski; Tomasz Smialkowski; Piotr Hoffmann (MT-ITS, 2019)

Style Transfer for Detecting Vehicles with Thermal Camera. - Sebastian Cygert; Andrzej Czyzewski (SPA, 2019)

Wind Turbines Modeling as the Tool for Developing Algorithms of Processing their Video Recordings. - Piotr Sokolowski; Sebastian Cygert; Maciej Szczodrak (SPA, 2019)

Evaluating Calibration and Robustness of Pedestrian Detectors. - Sebastian Cygert; Andrzej Czyzewski (MCSS, 2020)

Toward Robust Pedestrian Detection With Data Augmentation. - Sebastian Cygert; Andrzej Czyzewski (IEEE Access, 2020)

Robustness in Compressed Neural Networks for Object Detection. - Sebastian Cygert; Andrzej Czyzewski (IJCNN, 2021)

Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. - Sebastian Cygert; Bartlomiej Wróblewski 001; Karol Wozniak; Radoslaw Slowinski; Andrzej Czyzewski (IJCNN, 2021)

Towards Cancer Patients Classification Using Liquid Biopsy. - Sebastian Cygert; Franciszek Górski; Piotr Juszczyk; Sebastian Lewalski; Krzysztof Pastuszak; Andrzej Czyzewski; Anna Supernat (PRIME@MICCAI, 2021)

Robust Object Detection with Multi-input Multi-output Faster R-CNN. - Sebastian Cygert; Andrzej Czyzewski (ICIAP (1), 2022)

Creating New Voices using Normalizing Flows. - Piotr Bilinski; Thomas Merritt; Abdelhamid Ezzerg; Kamil Pokora; Sebastian Cygert; Kayoko Yanagisawa; Roberto Barra-Chicote; Daniel Korzekwa (INTERSPEECH, 2022)

Looking through the past: better knowledge retention for generative replay in continual learning. - Valeriya Khan; Sebastian Cygert; Bartlomiej Twardowski; Tomasz Trzcinski (ICCV (Workshops), 2023)

AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. - Damian Sójka; Sebastian Cygert; Bartlomiej Twardowski; Tomasz Trzcinski (ICCV (Workshops), 2023)

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. - Filip Szatkowski; Mateusz Pyla; Marcin Przewiezlikowski; Sebastian Cygert; Bartlomiej Twardowski; Tomasz Trzcinski (ICCV (Workshops), 2023)

Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech. - Dariusz Piotrowski; Renard Korzeniowski; Alessio Falai; Sebastian Cygert; Kamil Pokora; Georgi Tinchev; Ziyao Zhang; Kayoko Yanagisawa (ICONIP (7), 2023)

Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech. - 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; et al. (INTERSPEECH, 2023)

Generalized Continual Category Discovery. - Daniel Marczak; Grzegorz Rypesc; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski (CoRR, 2023)

Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation. - Damian Sójka; Yuyang Liu; Dipam Goswami; Sebastian Cygert; Bartlomiej Twardowski; Joost van de Weijer 001 (CoRR, 2023)

Revisiting Supervision for Continual Representation Learning. - Daniel Marczak; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski (ECCV (6), 2024)

MAGMAX: Leveraging Model Merging for Seamless Continual Learning. - Daniel Marczak; Bartlomiej Twardowski; Tomasz Trzcinski; Sebastian Cygert (ECCV (85), 2024)

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery. - Grzegorz Rypesc; Daniel Marczak; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski (ECCV (11), 2024)

Divide and not forget: Ensemble of selectively trained experts in Continual Learning. - Grzegorz Rypesc; Sebastian Cygert; Valeriya Khan; Tomasz Trzcinski; Bartosz Zielinski 001; Bartlomiej Twardowski (ICLR, 2024)

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning. - Grzegorz Rypesc; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski (NeurIPS, 2024)

Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning. - Valeriya Khan; Sebastian Cygert; Kamil Deja; Tomasz Trzcinski; Bartlomiej Twardowski (IEEE Access, 2024)

Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection. - Sebastian Cygert; Damian Sójka; Tomasz Trzcinski; Bartlomiej Twardowski (CoRR, 2024)

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. - Daniel Marczak; Simone Magistri; Sebastian Cygert; Bartlomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer 001 (CoRR, 2025)