Krzysztof Czarnecki

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Semi Supervised Learning

Directed Acyclic

Conflicting Objectives

Top Venues

Auton. Agents Multi Agent Syst.

Publications

Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki
Object Re-Identification from Point Clouds. WACV (2024)
Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. CoRR (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) (2024)
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction. IV (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 (2024)
Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki
Uniformly constrained reinforcement learning. Auton. Agents Multi Agent Syst. 38 (1) (2024)
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)
Huakun Shen, Boyue Caroline Hu, Krzysztof Czarnecki, Lina Marsso, Marsha Chechik
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance. CoRR (2024)
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction. CoRR (2024)
Krzysztof Czarnecki, Hiroshi Kuwajima
STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation. CoRR (2023)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Revealed Multi-Objective Utility Aggregation in Human Driving. AAMAS (2023)
Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. CVPR (2023)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Revealed Multi-Objective Utility Aggregation in Human Driving. CoRR (2023)
Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki
Towards Object Re-Identification from Point Clouds for 3D MOT. CoRR (2023)
Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. CoRR (2022)
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. CoRL (2022)
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)
Frédéric Bouchard, Sean Sedwards, Krzysztof Czarnecki
A Rule-Based Behaviour Planner for Autonomous Driving. RuleML+RR (2022)