Publications

Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros. (2024). "Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction", IEEE Transactions on Neural Networks and Learning Systems.

Aref Einizade, Jhony H. Giraldo, Fragkiskos D. Malliaros, Sepideh Hajipour Sardouie. (2024). "Estimation of a Causal Directed Acyclic Graph Process using Non-Gaussianity", Digital Signal Processing.

Nestor Rendon, Jhony H. Giraldo, Thierry Bouwmans, Susana Rodríguez-Buritica, Edison Ramirez, Claudia Isaza. (2023). "Uncertainty Clustering Internal Validity Assessment using Fréchet Distance for Unsupervised Learning",  Engineering Applications of Artificial Intelligence.

Marwa Chendeb El Rai, Jhony H. Giraldo, Mina Al-Saad, Muna Darweech, Thierry Bouwmans. (2022). "SemiSegSAR: A Semi-supervised Segmentation Algorithm for Ship SAR Images", IEEE Geoscience and Remote Sensing Letters.

Jhony H. Giraldo, Arif Mahmood, Belmar Garcia-Garcia, Dorina Thanou, Thierry Bouwmans. (2022). "Reconstruction of Time-varying Graph Signals via Sobolev Smoothness", IEEE Transactions on Signal and Information Processing over Networks. [DOI] [Preprint] [GitHub]

Jhony H. Giraldo, Sajid Javed, Thierry Bouwmans. (2020). "Graph Moving Object Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence. [DOI] [Preprint] [GitHub] [Supplementary Material] [Video Presentation]

Alejandro Parada-Mayorga, Daniel L Lau, Jhony H. Giraldo, Gonzalo R Arce. (2019). "Blue-Noise Sampling on Graphs", IEEE Transactions on Signal and Information Processing over Networks, 5(3), 554-569. [DOI] [Preprint] [GitHub]

Jhony H. Giraldo, Augusto Salazar, Alexander Gomez, and Angélica Diaz-Pulido. (2019). "Camera-trap images segmentation using multi-layer robust principal component analysis". The Visual Computer, 35(3), 335-347. [DOI] [SharedIt] [GitHub]

Jhony H. Giraldo, Augusto Salazar, German Diez, Alexander Gomez, Tatiana Martinez, J. Francisco Vargas-Bonilla, and Mariana Vásquez-Peñuela. (2018). "Automatic Identification of Scenedesmus Polymorphic Microalgae from Microscopic Images". Pattern Analysis and Applications, 21(2), 601-612. [DOI] [Preprint] [GitHub]

Jhony H. Giraldo and Augusto Salazar. (2016). "Automatic segmentation of lizard spots using an active contour model". Revista Facultad de Ingeniería Universidad de Antioquia, (79), 33-40. [DOI]

Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière, "Privacy-Preserving Adaptive Re-Identification without Image Transfer", European Conference on Computer Vision (2024).  (Accepted)

Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti, "GABIC: Graph-based Attention Block for Image Compression", IEEE International Conference on Image Processing (2024). (Accepted)

Zied Mnasri, Jhony H. Giraldo, Thierry Bouwmans, "Anomalous Sound Detection for Road Surveillance based on Graph Signal Processing", European Conference on Signal Processing (2024). (Accepted)

Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière, "Source-Guided Similarity Preservation for Online Person Re-Identification", IEEE/CVF Winter Conference on Applications of Computer Vision (2024). 

Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos Malliaros, "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks", ACM Conference on Information and Knowledge Management (2023). (Oral Presentation)

Nicola Corbellini, Jhony H. Giraldo, Giovanna Varni, Gualtiero Volpe,  "Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction", IEEE/CVF International Conference on Computer Vision - Workshops (2023). (Best Paper Award Artificial Social Intelligence Workshop)

Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione, "Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets", IEEE/CVF International Conference on Computer Vision - Workshops (2023).

Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans "Inductive Graph Neural Networks for Moving Object Segmentation", IEEE International Conference on Image Processing (2023).

Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans, "Higher-order Sparse Convolutions in Graph Neural Networks", IEEE International Conference on Acoustics, Speech, and Signal Processing (2023).

Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans, Fragkiskos D. Malliaros, "Time-varying Signals Recovery via Graph Neural Networks", IEEE International Conference on Acoustics, Speech, and Signal Processing (2023).

Jhony H. Giraldo, Vincenzo Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans. "Hypergraph Convolutional Networks for Weakly-supervised Semantic Segmentation", IEEE International Conference on Image Processing (2022). (Oral Presentation)

Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans. "Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos", IEEE/CVF International Conference on Computer Vision - Workshops (2021). [Preprint] [Video Presentation]

Anindya Mondal, Shashant R., Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury. "Moving Object Detection for Event-based Vision using Graph Spectral Clustering", IEEE/CVF International Conference on Computer Vision - Workshops (2021). [Preprint]

Jhony H. Giraldo, Sajid Javed, Maryam Sultana, Soon Ki Jung, Thierry Bouwmans. "The Emerging Field of Graph Signal Processing for Moving Object Segmentation", International Workshop on Frontiers of Computer Vision (2021). [DOI]

Maryam Sultana, Thierry Bouwmans, Jhony H. Giraldo, Soon Ki Jung. "Robust Foreground Segmentation in RGBD Data from Complex Scenes using Adversarial Networks", International Workshop on Frontiers of Computer Vision (2021). [DOI]

Jhony H. Giraldo, Thierry Bouwmans. "GraphBGS: Background Subtraction via Recovery of Graph Signals", International Conference on Pattern Recognition (2020). [DOI] [Preprint] [Video Presentation]

Jhony H. Giraldo, Thierry Bouwmans. "Semi-supervised Background Subtraction of Unseen Videos: Minimization of the Total Variation of Graph Signals", IEEE International Conference on Image Processing (2020). [DOI] [Preprint]

Jhony H. Giraldo, Thierry Bouwmans. "On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases", IEEE International Workshop on Machine Learning for Signal Processing (2020). [DOI] [Preprint] [Video Presentation]

Alejandro Parada-Mayorga, Daniel L Lau, Jhony H. Giraldo, Gonzalo R Arce. "Blue-Noise Sampling of Signals on Graphs", International Conference on Sampling Theory and Applications (2019). [DOI]

Alejandro Parada-Mayorga, Daniel L Lau, Jhony H. Giraldo, Gonzalo R Arce. "Sampling of Graph Signals with Blue Noise Dithering", IEEE Data Science Workshop (2019). [DOI]

Jhony H. Giraldo, Augusto Salazar, Alexander Gomez, and Angélica Diaz-Pulido. "Recognition of Mammal Genera on Camera-Trap Images Using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks". IEEE International Conference on Tools with Artificial Intelligence, 53-60, 2017. [DOI] [GitHub]

Alexander Gomez, German Diez, Jhony H. Giraldo, Augusto Salazar, and Juan M. Daza. "A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns". International Symposium on Visual Computing, 173-184, Springer, Cham, 2015. [DOI]

Juan Felipe Perez, Alexander Gomez, Jhony H. Giraldo, Sebastian Guzmán, and David Fernandez. "Automatic segmentation of coral reefs implementing textures analysis and color features with gaussian mixtures models". 2015. [DOI]

Jhony H. Giraldo, Thierry Bouwmans. (2021) "Moving Objects Detection in Video Processing: A Graph Signal Processing Approach for Background Subtraction", Artificial Intelligence Technologies, Applications, and Challenges, CRC Press, Taylor, Francis Group, 171-181. [DOI]

Jhony H. Giraldo, Huu Ton Le, Thierry Bouwmans. (2020). "Deep Learning Based Background Subtraction: A Systematic Survey". Handbook of Pattern Recognition and Computer Vision, 51-73. [DOI]

Jhony H. Giraldo. "Graph-based Algorithms in Computer Vision, Machine Learning, and Signal Processing". Ph.D. Thesis (Applied Mathematics), La Rochelle Université, 2022.

Jhony H. Giraldo. "Recognition of Mammal Genera on Camera-Trap Images using Convolutional Neural Networks". Research Work (Master of Science), Universidad de Antioquia, 2018. [thesis]