Jhony H. Giraldo
Jhony H. Giraldo
Other namesJhony-Heriberto Giraldo-Zuluaga, Jhony Giraldo
Assistant Professor, Télécom Paris, Institut Polytechnique de Paris
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Cited by
Cited by
Graph Moving Object Segmentation
JH Giraldo, S Javed, T Bouwmans
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2020
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
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
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
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
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
GraphBGS: Background subtraction via recovery of graph signals
JH Giraldo, T Bouwmans
2020 25th International Conference on Pattern Recognition (ICPR), 6881-6888, 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
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
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
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
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
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
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
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
Deep Learning Based Background Subtraction: A Systematic Survey
JH Giraldo, HT Le, T Bouwmans
Handbook of Pattern Recognition and Computer Vision, 51-73, 2020
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
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
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
Robust foreground segmentation in RGBD data from complex scenes using adversarial networks
M Sultana, T Bouwmans, JH Giraldo, SK Jung
International Workshop on Frontiers of Computer Vision, 3-16, 2021
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