Reference author: Krzysztof Czarnecki

Tang, M. Q., Abdelzad, V., Huang, C., Sedwards, S., & Czarnecki, K. (2024). 3D Object Detection with Track-Based Auto-Labelling Using Very Sparsely Labelled Data Presented at the International Conference on Intelligent Transportation Systems (ITSC) conference. Edmonton, AB, Canada: IEEE. https://doi.org/10.1109/ITSC58415.2024.10919741 (Original work published 2024)

Shen, H., Hu, B. C., Czarnecki, K., Marsso, L., & Chechik, M. (2025). Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance Presented at the IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision/(WACV) conference. Tucson, Arizona, USA: IEEE. https://doi.org/10.1109/WACV61041.2025.00614 (Original work published 2025)

Hu, B. C., Di Sandro, A., Marsso, L., Czarnecki, K., & Chechik, M. (2025). Arguing Reliability of Machine Learning-based Components Presented at the IEEE Engineering Reliable Autonomous Systems (ERAS) conference. Worcester, MA, USA: IEEE. https://doi.org/10.1109/ERAS63351.2025.11135634 (Original work published 2026)

Badihi, S., Tegegn, M., Riddell, E., Czarnecki, K., & Rubin, J. (2026). Hey, ChatGPT, Look at My Work: Using Conversational AI in Requirements Engineering Education Presented at the International Conference on Software Engineering (ICSE) conference. Rio de Janeiro, Brazil: IEEE. (Original work published 2026)

Choi, Y. M., Ali, A. B., Czarnecki, K., & Shi, F. (2026). The Illusion of Choice: Assessing Impact of Manipulated LLMs Presented at the Second Workshop on Technical AI Governance Research (TAIGR), ICML conference. Seoul, South Korea. Retrieved from https://openreview.net/forum?id=cOru6rrCT3 (Original work published 2026)

Zhang, R., Sun, C., Valiollahimehrizi, R., Czarnecki, K., & Khajepour, A. (2025). An Uncertainty-Aware, Dual-Tiered Decision-Making Method for Safe Autonomous Driving IEEE Transactions on Intelligent Transportation Systems, 26(1), 12. https://doi.org/10.1109/TITS.2024.3492794 (Original work published 2025)

Zhang, R., Sun, C., Ning, M., Valiollahimehrizi, R., Lu, Y., Czarnecki, K., & Khajepour, A. (2025). Quantifying Learning Algorithm Uncertainties in Autonomous Driving Systems: Enhancing Safety through Polynomial Chaos Expansion and High-Definition Maps Accident Analysis & Prevention, 211, 11. https://doi.org/10.1016/j.aap.2024.107903 (Original work published 2025)

Czarnecki, K. (2026). Public Crash Video Evidence For Adapting Euro Ncap Intersection Scenarios To North America Presented at the International Technical Conference on the Enhanced Safety of Vehicles (ESV) conference. Toronto, Canada: NHTSA. Retrieved from https://static.nhtsa.gov/esv/pdf/ESV/Proceedings/28/ESV26-279.pdf (Original work published 2026)

Czarnecki, K. (2026). Systematizing The Unusual: A Guideword- And Ontology-Based Method For Road Hazard Identification And Analysis In Driving Automation Safety Assurance (Gobi) And A Hazard Catalog Presented at the International Technical Conference on the Enhanced Safety of Vehicles (ESV) conference. Toronto, Canada: NHTSA. Retrieved from https://static.nhtsa.gov/esv/pdf/ESV/Proceedings/28/ESV26-241.pdf (Original work published 2026)

Chow, A., Riddell, E., Wang, Y., Sedwards, S., & Czarnecki, K. (2025). OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection Presented at the IEEE/CVF/International/Conference/on/Computer/Vision/(ICCV) conference. Honolulu, USA: Computer Vision Foundation. Retrieved from https://openaccess.thecvf.com/content/ICCV2025/html/Chow_OV-SCAN_Semantically_Consistent_Alignment_for_Novel_Object_Discovery_in_Open-Vocabulary_ICCV_2025_paper.html (Original work published 2025)