Jhony-Heriberto Giraldo-Zuluaga

According to our database, Jhony-Heriberto Giraldo-Zuluaga authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction.

Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Estimation of a causal directed acyclic graph process using non-gaussianity.

Aref Einizade, Jhony H. Giraldo, Fragkiskos D. Malliaros, Sepideh Hajipour Sardouie

Digit. Signal Process., 2024

GABIC: Graph-based Attention Block for Image Compression.

Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti

CoRR, 2024

WiGNet: Windowed Vision Graph Neural Network.

Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo

CoRR, 2024

HYGENE: A Diffusion-based Hypergraph Generation Method.

Dorian Gailhard, Enzo Tartaglione, Lirida Naviner de Barros, Jhony H. Giraldo

CoRR, 2024

Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks.

Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo

CoRR, 2024

Continuous Product Graph Neural Networks.

Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo

CoRR, 2024

Source-Guided Similarity Preservation for Online Person Re-Identification.

Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras.

Muhammad Rameez Ur Rahman, Jhony H. Giraldo, Indro Spinelli, Stéphane Lathuilière, Fabio Galasso

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Anomalous Sound Detection For Road Surveillance Based On Graph Signal Processing.

Zied Mnasri, Jhony H. Giraldo, Thierry Bouwmans

Proceedings of the 32nd European Signal Processing Conference, 2024

Privacy-Preserving Adaptive Re-Identification Without Image Transfer.

Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning.

Nestor Rendon, Jhony H. Giraldo, Thierry Bouwmans, Susana Rodríguez-Buritica, Edison Ramirez, Claudia Isaza

Eng. Appl. Artif. Intell., 2023

Inductive Graph Neural Networks for Moving Object Segmentation.

Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans

Proceedings of the IEEE International Conference on Image Processing, 2023

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets.

Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction.

Nicola Corbellini, Jhony H. Giraldo, Giovanna Varni, Gualtiero Volpe

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Higher-Order Sparse Convolutions in Graph Neural Networks.

Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans

Proceedings of the IEEE International Conference on Acoustics, 2023

Time-Varying Signals Recovery Via Graph Neural Networks.

Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans, Fragkiskos D. Malliaros

Proceedings of the IEEE International Conference on Acoustics, 2023

On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks.

Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Graph-based Algorithms in Computer Vision, Machine Learning, and Signal Processing. (Algorithmes basés sur les graphes pour la vision par ordinateur, l'apprentissage automatique et le traitement du signal).

Jhony H. Giraldo

PhD thesis, 2022

Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness.

Jhony H. Giraldo, Arif Mahmood, Belmar García García, Dorina Thanou, Thierry Bouwmans

IEEE Trans. Signal Inf. Process. over Networks, 2022

Graph Moving Object Segmentation.

Jhony H. Giraldo, Sajid Javed, Thierry Bouwmans

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images.

Marwa Chendeb El Rai, Jhony H. Giraldo, Mina Al-Saad, Muna Darweech, Thierry Bouwmans

IEEE Geosci. Remote. Sens. Lett., 2022

Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks.

Jhony H. Giraldo, Fragkiskos D. Malliaros, Thierry Bouwmans

CoRR, 2022

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation.

Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Moving Object Detection for Event-based Vision using Graph Spectral Clustering.

Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos.

Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks.

Maryam Sultana, Thierry Bouwmans, Jhony H. Giraldo, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

The Emerging Field of Graph Signal Processing for Moving Object Segmentation.

Jhony H. Giraldo, Sajid Javed, Maryam Sultana, Soon Ki Jung, Thierry Bouwmans

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

2020

On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases.

Jhony H. Giraldo, Thierry Bouwmans

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

GraphBGS: Background Subtraction via Recovery of Graph Signals.

Jhony H. Giraldo, Thierry Bouwmans

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals.

Jhony H. Giraldo, Thierry Bouwmans

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Camera-trap images segmentation using multi-layer robust principal component analysis.

Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gómez, Angélica Diaz-Pulido

Vis. Comput., 2019

Blue-Noise Sampling on Graphs.

Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce

IEEE Trans. Signal Inf. Process. over Networks, 2019

Sampling of Graph Signals with Blue Noise Dithering.

Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce

Proceedings of the IEEE Data Science Workshop, 2019

2018

Automatic identification of Scenedesmus polymorphic microalgae from microscopic images.

Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, German Díez, Alexander Gómez, Tatiana Martinez, Jesús Francisco Vargas-Bonilla, Mariana Peñuela Vasquez

Pattern Anal. Appl., 2018

2017

Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks.

Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gómez, Angélica Diaz-Pulido

CoRR, 2017

Recognition of Mammal Genera on Camera-Trap Images Using Multi-layer Robust Principal Component Analysis and Mixture Neural Networks.

Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gómez, Angélica Diaz-Pulido

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

Automatic segmentation of lizard spots using an active contour model.

Jhony H. Giraldo, Augusto Salazar

CoRR, 2016

Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard Species using Artificial Vision Algorithms.

Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Juan M. Daza

CoRR, 2016

2015

A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns.

Alexander Gómez, German Díez, Jhony H. Giraldo, Augusto Salazar, Juan M. Daza

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015