Reference author: Krzysztof Czarnecki

Berger, T., Mahmoud, W., Zahra, R. A., Vassilevski, I., Burger, A., Ji, W., … Czarnecki, K. (2025). Cost and Benefit of Tracing Features with Embedded Annotations ACM Transactions on Software Engineering and Methodology. https://doi.org/10.1145/3746060 (Original work published 2025)

Tang, M. Q., Sedwards, S., Huang, C., & Czarnecki, K. (2025). How Hard is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+ Presented at the IEEE Intelligent Vehicles Symposium (IV) conference. Cluj, Romania: IEEE.

Huang, C., Abdelzad, V., Sedwards, S., & Czarnecki, K. (2025). VADet: Multi-Frame LiDAR 3D Object Detection Using Variable Aggregation Presented at the 2025 IEEE CVF Winter Conference on Applications of Computer Vision (WACV) conference. Tucson, AZ, USA: IEEE. https://doi.org/10.1109/WACV61041.2025.00079 (Original work published 2025)

Huang, C., Abdelzad, V., Sedwards, S., & Czarnecki, K. (2024). SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling Presented at the 2024 IEEE CVF Winter Conference on Applications of Computer Vision (WACV) conference. Waikoloa, HI, USA: IEEE. https://doi.org/10.1109/WACV57701.2024.00332 (Original work published 2024)

Thérien, B., Huang, C., Chow, A., & Czarnecki, K. (2024). Object Re-identification from Point Clouds Presented at the IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision/(WACV) conference. IEEE. https://doi.org/https://doi.ieeecomputersociety.org/10.1109/WACV57701.2024.00819

Yacoub, M., Antkiewicz, M., Czarnecki, K., & McPhee, J. (2024). Gain-scheduled model predictive controller for vehicle-following trajectory generation for autonomous vehicles Vehicle System Dynamics, 26. https://doi.org/10.1080/00423114.2024.2373140 (Original work published 2024)

Queiroz, R., Sharma, D., Caldas, R., Czarnecki, K., Garcia, S., Berger, T., & Pelliccione, P. (2024). A driver-vehicle model for ADS scenario-based testing IEEE Transactions on Intelligent Transportation Systems, 14. https://doi.org/10.1109/TITS.2024.3373531 (Original work published 2024)

Wang, J., Pant, Y. V., Zhao, L., Antkiewicz, M., & Czarnecki, K. (2024). Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles IEEE Transactions on Intelligent Transportation Systems, 16. https://doi.org/10.1109/TITS.2024.3384050 (Original work published 2024)

Li, C., & Czarnecki, K. (2019). Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective Presented at the Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective conference. Montreal.

Valov, P., Petkovich, J.-C., Guo, J., Fischmeister, S., & Czarnecki, K. (2017). Transferring Performance Prediction Models Across Different Hardware Platforms Presented at the Transferring Performance Prediction Models Across Different Hardware Platforms conference. https://doi.org/10.1145/3030207.3030216 (Original work published 2017)