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)
References
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2025
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, 35(4). https://doi.org/10.1145/3746060 (Original work published 2026)
Huang, C., & Czarnecki, K. (2025). MFSeg: Efficient Multi-frame 3D Semantic Segmentation Presented at the IEEE International Conference on Robotics and Automation (ICRA) conference. Atlanta, GA, USA: IEEE. https://doi.org/10.1109/ICRA55743.2025.11127629 (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. https://doi.org/10.1109/IV64158.2025.11097651 (Original work published 2025)
2026
Riddell, E., Riddell, J., Sun, G., Antkiewicz, M., & Czarnecki, K. (2026). Stalled, Biased, and Confused: Uncovering Reasoning Failures in LLMs for Cloud-Based Root Cause Analysis Presented at the International Conference on AI Foundation Models and Software Engineering (FORGE) conference. https://doi.org/10.1145/3793655.3793732 (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)
Wang, Y., Riddell, E., Chow, A., Sedwards, S., & Czarnecki, K. (2026). Mitigating the modality gap: Few-shot out-of-distribution detection with multi-modal prototypes and image bias estimation Presented at the IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision conference. Tucson, Arizona, USA. Retrieved from https://openreview.net/pdf?id=tgnTVmRybs
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)
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)
Azadani, M. N., Riddell, J., Sedwards, S., & Czarnecki, K. (2026). Rethinking the Mixture of Vision Encoders Paradigm for Enhanced Visual Understanding in Multimodal LLMs Transactions on Machine Learning Research. Retrieved from https://openreview.net/pdf?id=tgnTVmRybs (Original work published 2026)