Deliège, A. (14 February 2024). Principes généraux d'intelligence artificielle & Expériences de traduction texte-image-texte avec GPT-4 et DALL•E 3 [Paper presentation]. Séminaire international de sémiotique à Paris : Énonciation(s) et passions dans les territoires sémiotiques ouverts par l’Intelligence Artificielle, Paris, France. |
Deliège, A. (2024). Advances on the F.R.S.-FNRS research project “Towards a Genealogy of Visual Forms”. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/313347. |
Giancola, S.* , Cioppa, A.* , Deliège, A., Magera, F., Somers, V., Kang, L., Zhou, X., Barnich, O., De Vleeschouwer, C., Alahi, A., Ghanem, B., Van Droogenbroeck, M., Darwish, A., Maglo, A., Clapés, A., Luyts, A., Boiarov, A., Xarles, A., Orcesi, A., ... Li, Z. (2022). SoccerNet 2022 Challenges Results. In ACM International Conference on Multimedia (pp. 75-86). New York, United States - New York: Association for Computing Machinery. doi:10.1145/3552437.3558545 * These authors have contributed equally to this work. |
Cioppa, A.* , Deliège, A.* , Giancola, S.* , Ghanem, B., & Van Droogenbroeck, M. (21 June 2022). Scaling up SoccerNet with multi-view spatial localization and re-identification. Scientific Data, 9 (1). doi:10.1038/s41597-022-01469-1 * These authors have contributed equally to this work. |
Cioppa, A.* , Giancola, S.* , Deliège, A.* , Kang, L.* , Zhou, X.* , Cheng, Z., Ghanem, B., & Van Droogenbroeck, M. (2022). SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 3490-3501). IEEE. doi:10.1109/CVPRW56347.2022.00393 * These authors have contributed equally to this work. |
Cioppa, A.* , Giancola, S.* , Deliège, A., Ghanem, B., & Van Droogenbroeck, M. (31 May 2022). Goal! A practical guide to soccer video understanding [Paper presentation]. Norwegian Artificial Intelligence Society Symposium, Oslo, Norway. * These authors have contributed equally to this work. |
Cioppa, A., Deliège, A., Giancola, S., Magera, F., Somers, V., Cheng, Z., Kang, L., Zhou, X., Ghanem, B., & Van Droogenbroeck, M. (2022). Soccer Player Tracking, Re-Identification, Camera Calibration and Action Spotting - SoccerNet Challenge 2022 [Paper presentation]. ACAD Research presentation. |
Cioppa, A., Deliège, A., Giancola, S., Seikavandi, M., Dueholm, J., Nasrollahi, K., Ghanem, B., Moeslund, T., & Van Droogenbroeck, M. (19 June 2021). SoccerNet challenge : Task presentation and winner announcement [Paper presentation]. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), ActivityNet. |
Cioppa, A., Deliège, A., Magera, F., Giancola, S., Barnich, O., Ghanem, B., & Van Droogenbroeck, M. (2021). Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109/CVPRW53098.2021.00511 |
Deliège, A., Cioppa, A., Giancola, S., Seikavandi, M., Dueholm, J., Nasrollahi, K., Ghanem, B., Moeslund, T., & Van Droogenbroeck, M. (2021). SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 4508-4519). doi:10.1109/CVPRW53098.2021.00508 |
Cioppa, A.* , Deliège, A.* , Giancola, S.* , Ghanem, B., Van Droogenbroeck, M., Gade, R., & Moeslund, T. B. (2020). A Context-Aware Loss Function for Action Spotting in Soccer Videos. IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 13123-13133. doi:10.1109/CVPR42600.2020.01314 * These authors have contributed equally to this work. |
Cioppa, A.* , Deliège, A.* , Noor, U. H., Gade, R., Van Droogenbroeck, M., & Moeslund, T. B. (2020). Multimodal and multiview distillation for real-time player detection on a football field. IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 3846-3855. doi:10.1109/CVPRW50498.2020.00448 * These authors have contributed equally to this work. |
Deliège, A. (2020). Des mathématiques derrière l'intelligence artificielle [Paper presentation]. Pi Day 2020, Liège, Belgium. |
Deliège, A., Cioppa, A., & Van Droogenbroeck, M. (04 March 2020). Ghost Loss to Question the Reliability of Training Data. IEEE Access, 8, 44774-44782. doi:10.1109/ACCESS.2020.2978283 |
Deliège, A., Istasse, M., Kumar, A., De Vleeschouwer, C., & Van Droogenbroeck, M. (2020). Ordinal Pooling. In 30th British Machine Vision Conference. |
Lemelin, M., Daly, M., & Deliège, A. (2020). Analysis of the Topographic Roughness of the Moon Using the Wavelet Leaders Method and the Lunar Digital Elevation Model From the Lunar Orbiter Laser Altimeter and SELENE Terrain Camera. Journal of Geophysical Research. Planets, 125 (1). doi:10.1029/2019JE006105 |
Van Droogenbroeck, M., Deliège, A., & Cioppa, A. (19 December 2019). Image classification using neural networks. |
Van Droogenbroeck, M., Deliège, A., & Cioppa, A. (18 December 2019). Image classification using neural networks. |
Cioppa, A.* , Deliège, A.* , Istasse, M., De Vleeschouwer, C., & Van Droogenbroeck, M. (2019). ARTHuS: Adaptive Real-Time Human Segmentation in Sports through Online Distillation. Conference on Computer Vision and Pattern Recognition Workshops, 2505-2514. doi:10.1109/CVPRW.2019.00306 * These authors have contributed equally to this work. |
Deliège, A. (2019). Des mathématiques derrière l'intelligence artificielle [Paper presentation]. Maths sous tous les angles, Amiens, France. |
Deliège, A., Cioppa, A., & Van Droogenbroeck, M. (2019). An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations. In Thirty-Third AAAI Conference on Artificial Intelligence. |
Lemelin, M., Daly, M., & Deliège, A. (2019). Investigating lunar 2-dimensional topographic properties at different spatial scales using lunar orbiter laser altimetter data and the wavelet leaders method [Poster presentation]. 50th Lunar and Planetary Science Conference, United States - Texas. |
Deliège, A.* , Cioppa, A.* , & Van Droogenbroeck, M.*. (18 June 2018). HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules. arXiv, 1806.06519. * These authors have contributed equally to this work. |
Allan, M., Deliège, A., Verheyden, S., Nicolay, S., & Fagel, N. (2018). Evidence for solar influence in a Holocene speleothem record (Père Noël cave, SE Belgium). Quaternary Science Reviews. doi:10.1016/j.quascirev.2018.05.039 |
Cioppa, A., Deliège, A., & Van Droogenbroeck, M. (2018). A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 1846-1855). IEEE. doi:10.1109/CVPRW.2018.00229 |
Deliège, A., & Nicolay, S. (April 2018). Analysis and indication on long-term forecasting of the Oceanic Niño index with wavelet-induced components [Poster presentation]. European Geosciences Union General Assembly 2018, Wien, Austria. |
Deliège, A. (2018). Des mathématiques derrière l'intelligence artificielle [Paper presentation]. Pi Day 2018, Liège, Belgium. |
Lemelin, M., Daly, M., & Deliège, A. (2018). INVESTIGATING LUNAR TOPOGRAPHIC PROPERTIES AT DIFFERENT SPATIAL SCALES USING DATA FROM THE LUNAR ORBITER LASER ALTIMETER AND THE WAVELET LEADERS METHOD [Poster presentation]. 49th Lunar and Planetary Science Conference 2018. |
Deliège, A., & Nicolay, S. (11 September 2017). Extracting oscillating components from nonstationary time series: A wavelet-induced method. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 96. doi:10.1103/PhysRevE.96.033307 |
Allan, M., Deliège, A., Nicolay, S., verheyden, S., & Fagel, N. (2017). Does Belgian Holocene speleothem record solar forcing and cold events? ORBi-University of Liège. https://orbi.uliege.be/handle/2268/213231. doi:10.5194/cp-2017-91 |
Deliège, A. (2017). Application of wavelet transforms to geosciences: Extraction of functional and frequential information [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/209501 |
Allan, M., Deliège, A., Nicolay, S., verheyden, S., & Fagel, N. (12 May 2017). Belgian speleothem records Holocene cold events? [Poster presentation]. PAGES-OSM, Zaragoza, Spain. |
Deliège, A. (07 February 2017). How to extract the oscillating components of a signal? A wavelet-based approach compared to the Empirical Mode Decomposition [Paper presentation]. Seminars in Mathematical Engineering, Louvain-La-Neuve, Belgium. |
Deliège, A., & Nicolay, S. (February 2017). Analysis and indications on long-term forecasting of the Oceanic Niño Index with wavelet-induced components. Pure and Applied Geophysics, 174 (4), 1815-1826. doi:10.1007/s00024-017-1491-4 |
Deliège, A.* , Kleyntssens, T.* , & Nicolay, S. (2017). Mars Topography Investigated Through the Wavelet Leaders Method: a Multidimensional Study of its Fractal Structure. Planetary and Space Science, 136C, 46-58. doi:10.1016/j.pss.2016.12.008 * These authors have contributed equally to this work. |
Deliège, A. (22 December 2016). How to extract the oscillating components of a signal? A wavelet-based approach compared to the Empirical Mode Decomposition [Paper presentation]. Séminaire interne entre doctorants. |
Deliège, A., Kleyntssens, T., & Nicolay, S. (April 2016). Poster EGU 2016: Mars Topography Investigated Through the Wavelet Leaders Method [Poster presentation]. European Geosciences Union General Assembly 2016, Vienne, Austria. |
Deliège, A., & Nicolay, S. (April 2016). [Beamer] A New Wavelet-Based Mode Decomposition for Oscillating Signals and Comparison with the Empirical Mode Decomposition [Paper presentation]. 13th International Conference on Information Technology : New Generations, Las Vegas, United States - Nevada. |
Deliège, A., & Nicolay, S. (2016). A New Wavelet-Based Mode Decomposition for Oscillating Signals and Comparison with the Empirical Mode Decomposition. In Information Technology: New Generations (pp. 959-968). Switzerland: Springer. doi:10.1007/978-3-319-32467-8_83 |
Kleyntssens, T., Deliège, A., & Nicolay, S. (2016). The Fractal Nature of Mars Topography Analyzed via the Wavelet Leaders Method. In Information Technology: New Generations. Switzerland: Springer. doi:10.1007/978-3-319-32467-8_117 |
Deliège, A., & Nicolay, S. (2016). Köppen–Geiger Climate Classification for Europe Recaptured via the Hölder Regularity of Air Temperature Data. Pure and Applied Geophysics, 173, 2885-2898. doi:10.1007/s00024-016-1339-3 |
Kleyntssens, T., Deliège, A., & Nicolay, S. (2016). The Fractal Nature of Mars Topography Analyzed via the Wavelet Leaders Method [Poster presentation]. 13th International Conference on Information Technology : New Generations. |
Deliège, A. (2015). Ma thèse en 180 secondes [Paper presentation]. Finale Internationale du concours "Ma thèse en 180 secondes", Paris, France. |
Deliège, A., & Nicolay, S. (08 September 2015). A wavelet-based mode decomposition compared to the EMD [Poster presentation]. GRETSI 2015, Lyon, France. |
Deliège, A., Nicolay, S., & Fettweis, X. (June 2015). A forecasting method using a wavelet-based mode decomposition and application to the ENSO index [Paper presentation]. 35th International Symposium on Forecasting, Riverside, California, United States. |
Deliège, A., Nicolay, S., & Fettweis, X. (13 April 2015). EGU2015 - ENSO forecast using a wavelet-based mode decomposition [Paper presentation]. European Geosciences Union General Assembly 2015, Vienne, Austria. |
Deliège, A., & Nicolay, S. (2015). Par A plus B [Paper presentation]. Émission radio "Par A plus B", Bruxelles, Belgium. |
Deliège, A., Nicolay, S., & Fettweis, X. (December 2014). ENSO forecast using a wavelet-based mode decomposition [Poster presentation]. 577 WE-Heraeus-Seminar on Health, Energy & Extreme Events in a Changing Climate, Bad Honnef, Germany. |
Deliège, A., & Nicolay, S. (20 August 2014). A multifractal analysis of air temperature signals based on the wavelet leaders method [Paper presentation]. Seventh Solar Information Processing Workshop, La Roche en Ardenne, Belgium. |
Deliège, A., & Nicolay, S. (25 June 2014). A wavelet leaders-based climate classification of European surface air temperature signals [Paper presentation]. International work-conference on time series analysis, Grenade, Spain. |
Deliège, A., & Nicolay, S. (2014). A wavelet leaders-based climate classification of European surface air temperature signals. In G. Ruiz Garcia & I. Rojas Ruiz (Eds.), Proceedings of the International work-conference on Time Series: Volume 1, Granada 25-27 June 2014 (pp. 40-51). Grenade, Spain: Copicentro Granada S.L. |
Deliège, A., & Nicolay, S. (19 June 2014). A wavelet-based analysis of surface air temperature regularity [Paper presentation]. Séminaire interne entre doctorants, Liège, Belgium. |
Deliège, A., & Nicolay, S. (06 June 2014). A wavelet-based analysis of surface air temperature variability [Paper presentation]. MeteoClim 2014, Antwerp's Ecohuis, Belgium. |
Deliège, A., & Nicolay, S. (22 May 2014). Multifractal analysis of air temperature signals using the wavelet leaders method [Paper presentation]. Groupe de contact FNRS "Wavelets and Applications", Bruxelles (ULB), Belgium. |
Deliège, A., & Nicolay, S. (25 March 2014). A multifractal-based climate analysis [Paper presentation]. Fractal Geometry and Stochastics V, Tabarz, Germany. |
Deliège, A. (2013). Analyse de la régularité hölderienne : De la théorie à l'application à des séries temporelles de températures [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/172055 |