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Author search results
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- Krzysztof Czarnecki 0001
University of Waterloo, Canada - Krzysztof Czarnecki 0002
Gdansk University of Technology, Poland
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Publication search results
found 312 matches
- 2024
- Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki:
Uniformly constrained reinforcement learning. Auton. Agents Multi Agent Syst. 38(1): 1 (2024) - Dening Lu, Shimon Schwartz, Linlin Xu, Mohammad Javad Shafiee, Norman G. Vinson, Krzysztof J. Czarnecki, Alexander Wong:
Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. Expert Syst. Appl. 252: 124129 (2024) - Rodrigo Queiroz, Divit Sharma, Ricardo Caldas, Krzysztof Czarnecki, Sergio García, Thorsten Berger, Patrizio Pelliccione:
A Driver-Vehicle Model for ADS Scenario-Based Testing. IEEE Trans. Intell. Transp. Syst. 25(8): 8641-8654 (2024) - Jie Wang, Yash Vardhan Pant, Lei Zhao, Michal Antkiewicz, Krzysztof Czarnecki:
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. IEEE Trans. Intell. Transp. Syst. 25(9): 12784-12799 (2024) - Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction. IV 2024: 1450-1457 - Krzysztof Czarnecki:
Dual-Process System: An Architectural Pattern for Assurable Autonomous Robots Inspired by Dual-Process Theory. SAFECOMP (Workshops) 2024: 405-411 - Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki:
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. WACV 2024: 3340-3349 - Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki:
Object Re-Identification from Point Clouds. WACV 2024: 8362-8373 - Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki:
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. CoRR abs/2401.04230 (2024) - Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction. CoRR abs/2401.07729 (2024) - Huakun Shen, Boyue Caroline Hu, Krzysztof Czarnecki, Lina Marsso, Marsha Chechik:
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance. CoRR abs/2402.19401 (2024) - Jie Wang, Yash Vardhan Pant, Lei Zhao, Michal Antkiewicz, Krzysztof Czarnecki:
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. CoRR abs/2404.06732 (2024) - Bouchard Frederic, Sedwards Sean, Czarnecki Krzysztof:
A Rule-Based Behaviour Planner for Autonomous Driving. CoRR abs/2407.00460 (2024) - 2023
- Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Revealed Multi-Objective Utility Aggregation in Human Driving. AAMAS 2023: 1979-1987 - Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki:
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. CVPR 2023: 13745-13755 - Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Revealed Multi-Objective Utility Aggregation in Human Driving. CoRR abs/2303.07435 (2023) - Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki:
Towards Object Re-Identification from Point Clouds for 3D MOT. CoRR abs/2305.10210 (2023) - Krzysztof Czarnecki, Hiroshi Kuwajima:
STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation. CoRR abs/2312.09559 (2023) - 2022
- Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. AAAI 2022: 5173-5182 - Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. CoRL 2022: 1793-1805 - Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki:
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. ICRA 2022: 11202-11208 - Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. ICSE 2022: 1145-1156 - Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Marsha Chechik:
What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components. ISSRE 2022: 49-60 - Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki:
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. ITSC 2022: 4265-4271 - Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki:
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. IV 2022: 533-541 - Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV 2022: 813-820 - Frédéric Bouchard, Sean Sedwards, Krzysztof Czarnecki:
A Rule-Based Behaviour Planner for Autonomous Driving. RuleML+RR 2022: 263-279 - Rick Salay, Krzysztof Czarnecki:
A Safety Assurable Human-Inspired Perception Architecture. SAFECOMP Workshops 2022: 302-315 - Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki:
Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. CoRR abs/2201.07958 (2022) - Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. CoRR abs/2202.03930 (2022)
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