Jhony-Heriberto Giraldo-Zuluaga

Orcid: 0000-0002-0039-1270

Affiliations:
  • Télécom Paris, France
  • University of Delaware, USA (former)
  • Antioquia University, Colombia (former)


According to our database1, Jhony-Heriberto Giraldo-Zuluaga authored at least 31 papers between 2015 and 2024.

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Bibliography

2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction.
CoRR, 2024

Source-Guided Similarity Preservation for Online Person Re-Identification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning.
Eng. Appl. Artif. Intell., 2023

Inductive Graph Neural Networks for Moving Object Segmentation.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Higher-Order Sparse Convolutions in Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Time-Varying Signals Recovery Via Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks.
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).
PhD thesis, 2022

Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Graph Moving Object Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks.
CoRR, 2022

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Moving Object Detection for Event-based Vision using Graph Spectral Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks.
Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

The Emerging Field of Graph Signal Processing for Moving Object Segmentation.
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.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

GraphBGS: Background Subtraction via Recovery of Graph Signals.
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.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Camera-trap images segmentation using multi-layer robust principal component analysis.
Vis. Comput., 2019

Blue-Noise Sampling on Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Sampling of Graph Signals with Blue Noise Dithering.
Proceedings of the IEEE Data Science Workshop, 2019

2018
Automatic identification of Scenedesmus polymorphic microalgae from microscopic images.
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.
CoRR, 2017

Recognition of Mammal Genera on Camera-Trap Images Using Multi-layer Robust Principal Component Analysis and Mixture Neural Networks.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Automatic segmentation of lizard spots using an active contour model.
CoRR, 2016

Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard Species using Artificial Vision Algorithms.
CoRR, 2016

2015
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015


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