Ghent University Academic Bibliography

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Adaptive clustering for efficient Phenotype segmentation of UAV hyperspectral data

Ciem Cornelissen (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) WACV2025, the Winter Conference on Applications of Computer Vision. p.459-468
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Exploring Correlated Facial Attributes in Text-to-Image Models: Unintended Consequences in Synthetic Face Generation

Sander De Coninck (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops. p.1392-1401
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- A2
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Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data

Wei-Cheng Wang (UGent) , Sander De Coninck (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) FRONTIERS IN ROBOTICS AND AI. 11.
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Maximum causal entropy inverse constrained reinforcement learning

Mattijs Baert (UGent) , Pietro Mazzaglia (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) MACHINE LEARNING. 114(4).
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Reward machine inference for robotic manipulation

Mattijs Baert (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) 8th Workshop on Generalization in Planning (GenPlan), part of AAAI2025, Proceedings.
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Multi-camera detection and tracking for individual broiler monitoring

Thorsten Cardoen (UGent) , Patricia Soster de Carvalho (UGent) , Gunther Antonissen (UGent) , Frank A. M. Tuyttens, Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 237(Part A).
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Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents

Helen Harman and Pieter Simoens (UGent)

(2024) KNOWLEDGE AND INFORMATION SYSTEMS. 66(2). p.1257-1300
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Reactive shepherding along a dynamic path

Stef Van Havermaet (UGent) , Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).
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Revisiting edge AI : opportunities and challenges

Tobias Meuser, Lauri Loven, Monowar Bhuyan, Shishir G. Patil, Schahram Dustdar, Atakan Aral, Suzan Bayhan, Christian Becker, Eyal de Lara, Aaron Yi Ding, et al.

(2024) IEEE INTERNET COMPUTING. 28(4). p.49-59
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Learning safety constraints from demonstration using one-class decision trees

Mattijs Baert (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2024) Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models at AAAI 2024, Proceedings.
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Learning temporal task specifications from demonstrations

Mattijs Baert (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2024) EXPLAINABLE AND TRANSPARENT AI AND MULTI-AGENT SYSTEMS, EXTRAAMAS 2024. In Lecture Notes in Computer Science 14847. p.81-98
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- Conference Paper
- C3
Computational modelling of time perception predictors and modulators

Pieter Simoens (UGent) and Yara Khaluf (UGent)

(2024) TIMING & TIME PERCEPTION. In Timing & Time Perception 12(3-4). p.298-298
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- A1
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The art of compensation : how hybrid teams solve collective-risk dilemmas

Inês Terrucha (UGent) , Elias Fernandez Domingos, Francisco C. Santos, Pieter Simoens (UGent) and Tom Lenaerts

(2024) PLOS ONE. 19(2).
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Committing to the wrong artificial delegate in a collective-risk dilemma is better than directly committing mistakes

Inês Terrucha (UGent) , Elias Fernandez Domingos, Pieter Simoens (UGent) and Tom Lenaerts

(2024) SCIENTIFIC REPORTS. 14(1).
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Hybrid edge-cloud models for bearing failure detection in a fleet of machines

Sam Leroux (UGent) and Pieter Simoens (UGent)

(2024) ELECTRONICS. 13(24).
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Test-time specialization of dynamic neural networks

Sam Leroux (UGent) , D Katare, A.Y. Ding and Pieter Simoens (UGent)

(2024) 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops p.1048-1056
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Mitigating bias using model-agnostic data attribution

Sander De Coninck (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2024) 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops p.235-243
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Label efficient lifelong multi-view broiler detection

Thorsten Cardoen (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2024) 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops p.5393-5402
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Multi-bit, black-box watermarking of deep neural networks in embedded applications

Sam Leroux (UGent) , Stijn Vanassche and Pieter Simoens (UGent)

(2024) 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops p.2121-2130
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Privacy-preserving visual analysis : training video obfuscation models without sensitive labels

Sander De Coninck (UGent) , Wei-Cheng Wang (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2024) APPLIED INTELLIGENCE. 54(8). p.6041-6052

Academic Bibliography

Adaptive clustering for efficient Phenotype segmentation of UAV hyperspectral data

Exploring Correlated Facial Attributes in Text-to-Image Models: Unintended Consequences in Synthetic Face Generation

Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data

Maximum causal entropy inverse constrained reinforcement learning

Reward machine inference for robotic manipulation

Multi-camera detection and tracking for individual broiler monitoring

Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents

Reactive shepherding along a dynamic path

Revisiting edge AI : opportunities and challenges

Learning safety constraints from demonstration using one-class decision trees

Learning temporal task specifications from demonstrations

Computational modelling of time perception predictors and modulators

The art of compensation : how hybrid teams solve collective-risk dilemmas

Committing to the wrong artificial delegate in a collective-risk dilemma is better than directly committing mistakes

Hybrid edge-cloud models for bearing failure detection in a fleet of machines

Test-time specialization of dynamic neural networks

Mitigating bias using model-agnostic data attribution

Label efficient lifelong multi-view broiler detection

Multi-bit, black-box watermarking of deep neural networks in embedded applications

Privacy-preserving visual analysis : training video obfuscation models without sensitive labels

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