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ORCIDJhony-Heriberto Giraldo-Zuluaga
Person information
- affiliation: Télécom Paris, France
- affiliation (former): University of Delaware, USA
- affiliation (former): Antioquia University, Colombia
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2020 – today
- 2024
[c18]Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière:
Source-Guided Similarity Preservation for Online Person Re-Identification. WACV 2024: 1700-1709- [i16]Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière:
Source-Guided Similarity Preservation for Online Person Re-Identification. CoRR abs/2402.15206 (2024) - [i15]Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros:
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction. CoRR abs/2403.19800 (2024) - 2023
- [j7]Nestor Rendon
, Jhony H. Giraldo, Thierry Bouwmans, Susana Rodríguez-Buritica, Edison Ramirez, Claudia Isaza:
Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning. Eng. Appl. Artif. Intell. 124: 106635 (2023) - [c17]Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros:
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks. CIKM 2023: 566-576 - [c16]Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans, Fragkiskos D. Malliaros:
Time-Varying Signals Recovery Via Graph Neural Networks. ICASSP 2023: 1-5 - [c15]Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans:
Higher-Order Sparse Convolutions in Graph Neural Networks. ICASSP 2023: 1-5 - [c14]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. ICCV (Workshops) 2023: 1510-1514 - [c13]Nicola Corbellini, Jhony H. Giraldo, Giovanna Varni, Gualtiero Volpe:
Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction. ICCV (Workshops) 2023: 3052-3060 - [c12]Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans:
Inductive Graph Neural Networks for Moving Object Segmentation. ICIP 2023: 2730-2734 - [i14]Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans:
Higher-order Sparse Convolutions in Graph Neural Networks. CoRR abs/2302.10505 (2023) - [i13]Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans, Fragkiskos D. Malliaros:
Time-varying Signals Recovery via Graph Neural Networks. CoRR abs/2302.11313 (2023) - [i12]Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans:
Inductive Graph Neural Networks for Moving Object Segmentation. CoRR abs/2305.09585 (2023) - 2022
- [b1]Jhony H. Giraldo:
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). La Rochelle University, France, 2022 - [j6]Marwa Chendeb El Rai, Jhony H. Giraldo, Mina Al-Saad, Muna Darweech, Thierry Bouwmans:
SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Jhony H. Giraldo, Sajid Javed, Thierry Bouwmans:
Graph Moving Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2485-2503 (2022) - [j4]Jhony H. Giraldo, Arif Mahmood, Belmar García García, Dorina Thanou, Thierry Bouwmans:
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness. IEEE Trans. Signal Inf. Process. over Networks 8: 201-214 (2022) - [c11]Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans:
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. ICIP 2022: 16-20 - [i11]Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans:
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. CoRR abs/2207.06440 (2022) - [i10]Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans:
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. CoRR abs/2210.05564 (2022) - [i9]Jhony H. Giraldo, Fragkiskos D. Malliaros, Thierry Bouwmans:
Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks. CoRR abs/2212.02374 (2022) - 2021
- [c10]Maryam Sultana, Thierry Bouwmans, Jhony H. Giraldo, Soon Ki Jung:
Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks. IW-FCV 2021: 3-16 - [c9]Jhony H. Giraldo, Sajid Javed, Maryam Sultana, Soon Ki Jung, Thierry Bouwmans:
The Emerging Field of Graph Signal Processing for Moving Object Segmentation. IW-FCV 2021: 31-45 - [c8]Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans:
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. ICCVW 2021: 225-233 - [c7]Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury:
Moving Object Detection for Event-based Vision using Graph Spectral Clustering. ICCVW 2021: 876-884 - [i8]Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury:
Moving Object Detection for Event-based vision using Graph Spectral Clustering. CoRR abs/2109.14979 (2021) - 2020
- [c6]Jhony H. Giraldo, Thierry Bouwmans:
Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals. ICIP 2020: 3224-3228 - [c5]Jhony H. Giraldo, Thierry Bouwmans:
GraphBGS: Background Subtraction via Recovery of Graph Signals. ICPR 2020: 6881-6888 - [c4]Jhony H. Giraldo, Thierry Bouwmans:
On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases. MLSP 2020: 1-6 - [i7]Jhony H. Giraldo, Thierry Bouwmans:
GraphBGS: Background Subtraction via Recovery of Graph Signals. CoRR abs/2001.06404 (2020)
2010 – 2019
- 2019
- [j3]Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce:
Blue-Noise Sampling on Graphs. IEEE Trans. Signal Inf. Process. over Networks 5(3): 554-569 (2019) - [j2]Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gómez, Angélica Diaz-Pulido:
Camera-trap images segmentation using multi-layer robust principal component analysis. Vis. Comput. 35(3): 335-347 (2019) - [c3]Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce:
Sampling of Graph Signals with Blue Noise Dithering. DSW 2019: 150-154 - 2018
- [j1]Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, German Díez, Alexander Gómez, Tatiana Martinez, Jesús Francisco Vargas-Bonilla, Mariana Peñuela Vasquez:
Automatic identification of Scenedesmus polymorphic microalgae from microscopic images. Pattern Anal. Appl. 21(2): 601-612 (2018) - 2017
- [c2]Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gómez, Angélica Diaz-Pulido:
Recognition of Mammal Genera on Camera-Trap Images Using Multi-layer Robust Principal Component Analysis and Mixture Neural Networks. ICTAI 2017: 53-60 - [i6]Jhony-Heriberto Giraldo-Zuluaga, Alexander Gómez, Augusto Salazar, Angélica Diaz-Pulido:
Camera-Trap Images Segmentation using Multi-Layer Robust Principal Component Analysis. CoRR abs/1701.08180 (2017) - [i5]Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gómez, Angélica Diaz-Pulido:
Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks. CoRR abs/1705.02727 (2017) - 2016
- [i4]Jhony H. Giraldo, Augusto Salazar:
Automatic segmentation of lizard spots using an active contour model. CoRR abs/1603.00841 (2016) - [i3]Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Juan M. Daza:
Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard Species using Artificial Vision Algorithms. CoRR abs/1611.02803 (2016) - [i2]Jhony-Heriberto Giraldo-Zuluaga, German Díez, Alexander Gómez, Tatiana Martinez, Mariana Peñuela Vasquez, Jesús Francisco Vargas-Bonilla, Augusto Salazar:
Automatic Identification of Scenedesmus Polymorphic Microalgae from Microscopic Images. CoRR abs/1612.07379 (2016) - 2015
- [c1]Alexander Gómez, German Díez, Jhony H. Giraldo, Augusto Salazar, Juan M. Daza:
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns. ISVC (2) 2015: 173-184 - [i1]Alexander Gómez, German Díez, Jhony H. Giraldo, Augusto Salazar, Juan M. Daza:
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns. CoRR abs/1510.07474 (2015)
Coauthor Index
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last updated on 2024-04-18 22:57 CEST by the dblp team
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