1. Anaïs Halin. Understanding the Interplay Between the Driver, the Vehicle, and the Environment for Adapting Driving Automation. PhD thesis, University of Liège, Belgium, January 2026. Keyword(s): Driving automation, Automation level, Vehicle engagement, Driver involvement, Driving environment complexity, Adaptive automation, Human-automation interaction, Cooperation, Risk assessment, Risk management, Driver, Vehicle, Environment.
   

   @phdthesis{Halin2026Understanding,
   title = {Understanding the Interplay Between the Driver, the Vehicle, and the Environment for Adapting Driving Automation},
   author = {Halin, Ana{\"i}s},
   school = {University of Li{\`e}ge, Belgium} month = {January},
   year = {2026},
   keywords = {Driving automation, Automation level, Vehicle engagement, Driver involvement, Driving environment complexity, Adaptive automation, Human-automation interaction, Cooperation, Risk assessment, Risk management, Driver, Vehicle, Environment},
   url = {https://hdl.handle.net/2268/337877} 
   }
   




2. Sébastien Piérard. Probabilistic Theory of Performances, Rankings, and Domains, for the Evaluation, Comparison, and Adaptation of Entities. PhD thesis, University of Liège, Belgium, April 2026. Keyword(s): Performance, Evaluation, Comparaison, Tile, Domain.
   

   @phdthesis{Pierard2026Probabilistic,
   title = {Probabilistic Theory of Performances, Rankings, and Domains, for the Evaluation, Comparison, and Adaptation of Entities},
   author = {Pi{\'e}rard, S{\'e}bastien},
   school = {University of Li{\`e}ge, Belgium},
   month = {April},
   year = {2026},
   keywords = {Performance, Evaluation, Comparaison, Tile, Domain},
   url = {https://hdl.handle.net/2268/341893} 
   }
   




3. Renaud Vandeghen. Learning With Unlabeled Data. PhD thesis, University of Liège, Belgium, April 2026. Keyword(s): Learning, Supervision.
   

   @phdthesis{Vandeghen2026Learning,
   title = {Learning With Unlabeled Data},
   author = {Vandeghen, Renaud},
   school = {University of Li{\`e}ge, Belgium},
   month = {April},
   year = {2026},
   keywords = {Learning, Supervision},
   url = {https://hdl.handle.net/2268/341870} 
   }
   

1. Anthony Cioppa, Antoine Verdonck, Maxim Henry, Marc Van Droogenbroeck, and Raphaël La Rocca. TCG-AR: Real-Time Multi-View Augmented Reality for Trading Card Game Streaming. arXiv, abs/2607.02090, 2026. Keyword(s): Trading card, Pokemon, Streaming.
   

   @article{Cioppa2026TCGAR-arxiv,
   title = {{TCG}-{AR}: Real-Time Multi-View Augmented Reality for Trading Card Game Streaming},
   author = {Cioppa, Anthony and Verdonck, Antoine and Henry, Maxim and Van Droogenbroeck, Marc and La Rocca, Rapha{\"e}l},
   journal = {arXiv},
   volume = {abs/2607.02090},
   year = {2026},
   publisher = {arXiv},
   eprint = {2607.02090},
   keywords = {Trading card, Pokemon, Streaming},
   eprinttype = {arXiv},
   doi = {10.48550/arXiv.2607.02090},
   url = {https://doi.org/10.48550/arXiv.2607.02090} 
   }
   




2. Maxim Henry, Adrien Deliège, Sébastien Piérard, and Marc Van Droogenbroeck. Recursive Block-Diagonal Coupling for Resource-Efficient Training of Vision Models. arXiv, abs/2605.23656, 2026. Keyword(s): Learning, Fast training, Efficient, Recursive.
   

   @article{Henry2026Recursive-arxiv,
   title = {Recursive Block-Diagonal Coupling for Resource-Efficient Training of Vision Models},
   author = {Henry, Maxim and Deli{\`e}ge, Adrien and Pi{\'e}rard, S{\'e}bastien and Van Droogenbroeck, Marc},
   journal = {arXiv},
   volume = {abs/2605.23656},
   year = {2026},
   publisher = {arXiv},
   eprint = {2605.23656},
   keywords = {Learning, Fast training, Efficient, Recursive},
   eprinttype = {arXiv},
   doi = {10.48550/arXiv.2605.23656},
   url = {https://doi.org/10.48550/arXiv.2605.23656} 
   }
   




3. Carles Cantero Mitjans, Mariam Sabalbal, Olivier Absil, Marc Van Droogenbroeck, Damien Ségransan, and Philippe Delorme. New substellar candidates identified through deep learning in the F150 sample of the large-scale SHINE direct imaging survey. arXiv, abs/2605.23700, 2026. Keyword(s): Survey, SHINE, Candidate, Exoplanet.
   

   @article{Mitjans2026NewSubstellar-arxiv,
   title = {New substellar candidates identified through deep learning in the {F150} sample of the large-scale {SHINE} direct imaging survey},
   author = {Mitjans, Carles Cantero and Sabalbal, Mariam and Absil, Olivier and Van Droogenbroeck, Marc and S{\'e}gransan, Damien and Delorme, Philippe},
   journal = {arXiv},
   volume = {abs/2605.23700},
   year = {2026},
   publisher = {arXiv},
   eprint = {2605.23700},
   keywords = {Survey, SHINE, Candidate, Exoplanet},
   eprinttype = {arXiv},
   doi = {10.48550/arXiv.2605.23700},
   url = {https://doi.org/10.48550/arXiv.2605.23700} 
   }
   




4. Anastasia Zakharova, Thierry Bouwmans, Anthony Cioppa, Adrien Deliège, Antonio Greco, Anaïs Halin, Kamil Jeziorek, Meghna Kapoor, Tomasz Kryjak, Islam Osman, Sébastien Piérard, Carlo Sansone, Mohamed S. Shehata, Renaud Vandeghen, Marc Van Droogenbroeck, and Bruno Vento. Event Detection in Videos: A Framework for the Development of New Methods. arXiv, abs/2607.04372, 2026. Keyword(s): Video, Video understanding, Event, Detection, Monitoring, SUC, Synthetic Urban Crossroads dataset, Dataset, Scenario, Performance, Evaluation, Tile, Summarization, F1, Precision, Recall, Hardware.
   

   @article{Zakharova2026Event-arxiv,
   title = {Event Detection in Videos: A Framework for the Development of New Methods},
   author = {Zakharova, Anastasia and Bouwmans, Thierry and Cioppa, Anthony and Deli{\`e}ge, Adrien and Greco, Antonio and Halin, Ana{\"\i}s and Jeziorek, Kamil and Kapoor, Meghna and Kryjak, Tomasz and Osman, Islam and Pi{\'e}rard, S{\'e}bastien and Sansone, Carlo and Shehata, Mohamed S. and Vandeghen, Renaud and Van Droogenbroeck, Marc and Vento, Bruno},
   journal = {arXiv},
   volume = {abs/2607.04372},
   year = {2026},
   publisher = {arXiv},
   eprint = {2607.04372},
   keywords = {Video, Video understanding, Event, Detection, Monitoring, SUC, Synthetic Urban Crossroads dataset, Dataset, Scenario, Performance, Evaluation, Tile, Summarization, F1, Precision, Recall, Hardware},
   eprinttype = {arXiv},
   doi = {10.48550/arXiv.2607.04372},
   url = {https://doi.org/10.48550/arXiv.2607.04372} 
   }
   

1. Xavier Bou, Nathan Correger, Alexandre Cloots, Cédric Gavage, Silvio Giancola, Cédric Schwartz, François Delvaux, Rudi Cloots, Marc Van Droogenbroeck, and Anthony Cioppa. Towards Athlete Fatigue Assessment from Association Football Videos. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Denver, Colorado, USA, pages 1-13, June 2026. IEEE. Keyword(s): Soccer, Fatigue, Game state recognition, Speed, Acceleration, SoccerNet.
   

   @inproceedings{Bou2026Towards,
   title = {Towards Athlete Fatigue Assessment from Association Football Videos},
   author = {Bou, Xavier and Correger, Nathan and Cloots, Alexandre and Gavage, C{\'e}dric and Giancola, Silvio and Schwartz, C{\'e}dric and Delvaux, Fran{\c{c}}ois and Cloots, Rudi and Van Droogenbroeck, Marc and Cioppa, Anthony},
   booktitle = {IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports},
   pages = {1-13},
   month = {June},
   year = {2026},
   publisher = {IEEE},
   address = {Denver, Colorado, USA},
   keywords = {Soccer, Fatigue, Game state recognition, Speed, Acceleration, SoccerNet} 
   }
   




2. Thierry Bouwmans, Antonio Greco, Sébastien Piérard, Andrea Vincenzo Ricciardi, Carlo Sansone, Marc Van Droogenbroeck, and Bruno Vento. Illegal waste dumping detection. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Tucson, Arizona, USA, pages 539-548, March 2026. Keyword(s): Challenge, Waste dumping, Waste, Detection, Tile, Evaluation, Performance, Ranking.
   

   @inproceedings{Bouwmans2026Illegal,
   title = {Illegal waste dumping detection},
   author = {Bouwmans, Thierry and Greco, Antonio and Pi{\'e}rard, S{\'e}bastien and Ricciardi, Andrea Vincenzo and Sansone, Carlo and Van Droogenbroeck, Marc and Vento, Bruno},
   booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)},
   pages = {539-548},
   month = {March},
   year = {2026},
   address = {Tucson, Arizona, USA},
   keywords = {Challenge, Waste dumping, Waste, Detection, Tile, Evaluation, Performance, Ranking},
   pdf = {https://openaccess.thecvf.com/content/WACV2026W/WasteVision/papers/Bouwmans_Illegal_waste_dumping_detection_WACVW_2026_paper.pdf} 
   }
   




3. Jan Held, Sanghyun Son, Renaud Vandeghen, Daniel Rebain, Matheus Gadelha, Yi Zhou, Anthony Cioppa, Ming C. Lin, Marc Van Droogenbroeck, and Andrea Tagliasacchi. MeshSplatting: Differentiable Rendering with Opaque Meshes. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, Colorado, USA, June 2026. IEEE. Keyword(s): Mesh, Splatting, Rendering.
   

   @inproceedings{Held2026MeshSplatting,
   title = {{MeshSplatting}: Differentiable Rendering with Opaque Meshes},
   author = {Held, Jan and Son, Sanghyun and Vandeghen, Renaud and Rebain, Daniel and Gadelha, Matheus and Zhou, Yi and Cioppa, Anthony and Lin, Ming C. and Van Droogenbroeck, Marc and Tagliasacchi, Andrea},
   booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)} month = {June},
   year = {2026},
   publisher = {IEEE},
   address = {Denver, Colorado, USA},
   keywords = {Mesh, Splatting, Rendering} 
   }
   




4. Jan Held, Renaud Vandeghen, Adrien Deliège, Abdullah Hamdi, Silvio Giancola, Anthony Cioppa, Andrea Vedaldi, Bernard Ghanem, Andrea Tagliasacchi, and Marc Van Droogenbroeck. Triangle Splatting for Real-Time Radiance Field Rendering. In International Conference on 3D Vision (3DV), Vancouver, Canada, March 2026. Keyword(s): Splatting, Triangle, Real time, Rendering.
   

   @inproceedings{Held2026Triangle,
   title = {Triangle Splatting for Real-Time Radiance Field Rendering},
   author = {Held, Jan and Vandeghen, Renaud and Deli{\`e}ge, Adrien and Hamdi, Abdullah and Giancola, Silvio and Cioppa, Anthony and Vedaldi, Andrea and Ghanem, Bernard and Tagliasacchi, Andrea and Van Droogenbroeck, Marc},
   booktitle = {International Conference on 3D Vision (3DV)},
   month = {March},
   year = {2026},
   address = {Vancouver, Canada},
   keywords = {Splatting, Triangle, Real time, Rendering},
   doi = {10.48550/arXiv.2505.19175},
   url = {https://doi.org/10.48550/arXiv.2505.19175} 
   }
   




5. Maxim Henry, Adrien Deliège, Anthony Cioppa, and Marc Van Droogenbroeck. LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation. In IEEE International Conference on Pattern Recognition (ICPR), Lyon, France, pages 1-15, August 2026. Keyword(s): Pruning, Segmentation, CNN.
   

   @inproceedings{Henry2026LinDeps,
   title = {{LinDeps}: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation},
   author = {Henry, Maxim and Deli{\`e}ge, Adrien and Cioppa, Anthony and Van Droogenbroeck, Marc},
   booktitle = {IEEE International Conference on Pattern Recognition (ICPR)},
   pages = {1-15},
   month = {August},
   year = {2026},
   address = {Lyon, France},
   keywords = {Pruning, Segmentation, CNN},
   doi = {10.48550/arXiv.2507.21573},
   url = {https://doi.org/10.48550/arXiv.2507.21573} 
   }
   




6. Sébastien Piérard, Adrien Deliège, and Marc Van Droogenbroeck. What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely F1. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, Colorado, USA, June 2026. IEEE. Keyword(s): Performance, Ranking, Classification, Detection, Precision, Recall, F1.
   

   @inproceedings{Pierard2026What,
   title = {What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely F1},
   author = {Pi{\'e}rard, S{\'e}bastien and Deli{\`e}ge, Adrien and Van Droogenbroeck, Marc},
   booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)} month = {June},
   year = {2026},
   address = {Denver, Colorado, USA},
   publisher = {IEEE},
   keywords = {Performance, Ranking, Classification, Detection, Precision, Recall, F1} 
   }
   




7. Renaud Vandeghen, Fida Mohammad Thoker, Bernard Ghanem, and Marc Van Droogenbroeck. TrackMAE: Video Representation Learning via Track Mask and Predict. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, Colorado, USA, June 2026. IEEE. Keyword(s): Learning, Tracking, Masking.
   

   @inproceedings{Vandeghen2026TrackMAE,
   title = {{TrackMAE}: Video Representation Learning via Track Mask and Predict},
   author = {Vandeghen, Renaud and Thoker, Fida Mohammad and Ghanem, Bernard and Van Droogenbroeck, Marc},
   booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)} month = {June},
   year = {2026},
   address = {Denver, Colorado, USA},
   publisher = {IEEE},
   keywords = {Learning, Tracking, Masking} 
   }
   

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