Jhony H. Giraldo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Complex Environments

Background Subtraction

Directed Acyclic

Top Venues

Publications

Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks. CoRR (2024)
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière
Source-Guided Similarity Preservation for Online Person Re-Identification. CoRR (2024)
Aref Einizade, Jhony H. Giraldo, Fragkiskos D. Malliaros, Sepideh Hajipour Sardouie
Estimation of a causal directed acyclic graph process using non-gaussianity. Digit. Signal Process. 146 (2024)
Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction. CoRR (2024)
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière
Source-Guided Similarity Preservation for Online Person Re-Identification. WACV (2024)
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière
Privacy-Preserving Adaptive Re-Identification without Image Transfer. CoRR (2024)
Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo
Continuous Product Graph Neural Networks. CoRR (2024)
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 (2023)
Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans
Higher-order Sparse Convolutions in Graph Neural Networks. CoRR (2023)
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)
Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans
Higher-Order Sparse Convolutions in Graph Neural Networks. ICASSP (2023)
Nicola Corbellini, Jhony H. Giraldo, Giovanna Varni, Gualtiero Volpe
Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction. ICCV (Workshops) (2023)
Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans
Inductive Graph Neural Networks for Moving Object Segmentation. ICIP (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. CoRR (2023)
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)
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)
Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans
Inductive Graph Neural Networks for Moving Object Segmentation. CoRR (2023)
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 (2022)
Jhony H. Giraldo, Sajid Javed, Thierry Bouwmans
Graph Moving Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Jhony H. Giraldo, Fragkiskos D. Malliaros, Thierry Bouwmans
Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks. CoRR (2022)
Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. CoRR (2022)
Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. ICIP (2022)
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 (2022)
Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. CoRR (2022)
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)
Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. ICCVW (2021)
Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury
Moving Object Detection for Event-based vision using Graph Spectral Clustering. CoRR (2021)
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)
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)
Jhony H. Giraldo, Thierry Bouwmans
GraphBGS: Background Subtraction via Recovery of Graph Signals. CoRR (2020)
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)
Jhony H. Giraldo, Thierry Bouwmans
Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals. ICIP (2020)
Jhony H. Giraldo, Thierry Bouwmans
GraphBGS: Background Subtraction via Recovery of Graph Signals. ICPR (2020)
Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce
Sampling of Graph Signals with Blue Noise Dithering. DSW (2019)
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) (2019)
Jhony H. Giraldo, Augusto Salazar
Automatic segmentation of lizard spots using an active contour model. CoRR (2016)
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 (2015)
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)