| Graph Moving Object Segmentation JH Giraldo, S Javed, T Bouwmans IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2020 | 106 | 2020 |
| Reconstruction of time-varying graph signals via Sobolev smoothness JH Giraldo, A Mahmood, B Garcia-Garcia, D Thanou, T Bouwmans IEEE Transactions on Signal and Information Processing over Networks 8, 201-214, 2022 | 60 | 2022 |
| On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks JH Giraldo, K Skianis, T Bouwmans, FD Malliaros Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 59* | 2023 |
| Moving object detection for event-based vision using graph spectral clustering A Mondal, JH Giraldo, T Bouwmans, AS Chowdhury Proceedings of the IEEE/CVF international conference on computer vision, 876-884, 2021 | 50 | 2021 |
| Semi-supervised background subtraction of unseen videos: Minimization of the total variation of graph signals JH Giraldo, T Bouwmans 2020 IEEE international conference on image processing (ICIP), 3224-3228, 2020 | 45 | 2020 |
| Blue-noise sampling on graphs A Parada-Mayorga, DL Lau, JH Giraldo, GR Arce IEEE Transactions on Signal and Information Processing over Networks 5 (3 …, 2019 | 44 | 2019 |
| The emerging field of graph signal processing for moving object segmentation JH Giraldo, S Javed, M Sultana, SK Jung, T Bouwmans International workshop on frontiers of computer vision, 31-45, 2021 | 43 | 2021 |
| Camera-trap images segmentation using multi-layer robust principal component analysis JH Giraldo-Zuluaga, A Salazar, A Gomez, A Diaz-Pulido The Visual Computer 35, 335-347, 2019 | 41 | 2019 |
| Automatic identification of Scenedesmus polymorphic microalgae from microscopic images JH Giraldo-Zuluaga, A Salazar, G Diez, A Gomez, T Martínez, JF Vargas, ... Pattern Analysis and Applications 21, 601-612, 2018 | 41 | 2018 |
| GraphBGS: Background subtraction via recovery of graph signals JH Giraldo, T Bouwmans 2020 25th International Conference on Pattern Recognition (ICPR), 6881-6888, 2021 | 39 | 2021 |
| Graph CNN for moving object detection in complex environments from unseen videos JH Giraldo, S Javed, N Werghi, T Bouwmans Proceedings of the IEEE/CVF International Conference on Computer Vision, 225-233, 2021 | 35 | 2021 |
| Recognition of mammal genera on camera-trap images using multi-layer robust principal component analysis and mixture neural networks JH Giraldo-Zuluaga, A Salazar, A Gomez, A Diaz-Pulido 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 27* | 2017 |
| Hypergraph convolutional networks for weakly-supervised semantic segmentation JH Giraldo, V Scarrica, A Staiano, F Camastra, T Bouwmans 2022 IEEE international conference on image processing (ICIP), 16-20, 2022 | 26 | 2022 |
| On the minimization of Sobolev norms of time-varying graph signals: Estimation of new Coronavirus disease 2019 cases JH Giraldo, T Bouwmans 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 20 | 2020 |
| SemiSegSAR: A semi-supervised segmentation algorithm for ship SAR images MC El Rai, JH Giraldo, M Al-Saad, M Darweech, T Bouwmans IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 19 | 2022 |
| Deep Learning Based Background Subtraction: A Systematic Survey JH Giraldo, HT Le, T Bouwmans Handbook of Pattern Recognition and Computer Vision, 51-73, 2020 | 12 | 2020 |
| Time-varying signals recovery via graph neural networks JA Castro-Correa, JH Giraldo, A Mondal, M Badiey, T Bouwmans, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 10 | 2023 |
| Inductive graph neural networks for moving object segmentation W Prummel, JH Giraldo, A Zakharova, T Bouwmans 2023 IEEE International Conference on Image Processing (ICIP), 2730-2734, 2023 | 9 | 2023 |
| Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning N Rendon, JH Giraldo, T Bouwmans, S Rodríguez-Buritica, E Ramirez, ... Engineering Applications of Artificial Intelligence 124, 106635, 2023 | 9 | 2023 |
| Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction JA Castro-Correa, JH Giraldo, M Badiey, FD Malliaros IEEE Transactions on Neural Networks and Learning Systems, 2024 | 7 | 2024 |
Thierry BOUWMANSLaboratoire MIA, La Rochelle Université確認したメール アドレス: univ-lr.fr