A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns. - Alexander Gómez 001; German Díez; Jhony H. Giraldo; Augusto Salazar; Juan M. Daza (ISVC (2), 2015)

Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard Species using Artificial Vision Algorithms. - Jhony-Heriberto Giraldo-Zuluaga; Augusto Salazar; Juan M. Daza (CoRR, 2016)

Automatic segmentation of lizard spots using an active contour model. - Jhony H. Giraldo; Augusto Salazar (CoRR, 2016)

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 001; Angélica Diaz-Pulido (ICTAI, 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 001; Angélica Diaz-Pulido (CoRR, 2017)

Automatic identification of Scenedesmus polymorphic microalgae from microscopic images. - Jhony-Heriberto Giraldo-Zuluaga; Augusto Salazar; German Díez; Alexander Gómez 001; Tatiana Martinez; Jesús Francisco Vargas-Bonilla; Mariana Peñuela Vasquez (Pattern Anal. Appl., 2018)

Sampling of Graph Signals with Blue Noise Dithering. - Alejandro Parada-Mayorga; Daniel L. Lau; Jhony H. Giraldo; Gonzalo R. Arce (DSW, 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)

Camera-trap images segmentation using multi-layer robust principal component analysis. - Jhony-Heriberto Giraldo-Zuluaga; Augusto Salazar; Alexander Gómez 001; Angélica Diaz-Pulido (Vis. Comput., 2019)

Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals. - Jhony H. Giraldo; Thierry Bouwmans (ICIP, 2020)

GraphBGS: Background Subtraction via Recovery of Graph Signals. - Jhony H. Giraldo; Thierry Bouwmans (ICPR, 2020)

On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases. - Jhony H. Giraldo; Thierry Bouwmans (MLSP, 2020)

The Emerging Field of Graph Signal Processing for Moving Object Segmentation. - Jhony H. Giraldo; Sajid Javed; Maryam Sultana; Soon Ki Jung; Thierry Bouwmans (IW-FCV, 2021)

Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks. - Maryam Sultana; Thierry Bouwmans; Jhony H. Giraldo; Soon Ki Jung (IW-FCV, 2021)

Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos. - Jhony H. Giraldo; Sajid Javed; Naoufel Werghi; Thierry Bouwmans (ICCVW, 2021)

Moving Object Detection for Event-based Vision using Graph Spectral Clustering. - Anindya Mondal; Shashant R; Jhony H. Giraldo; Thierry Bouwmans; Ananda S. Chowdhury (ICCVW, 2021)

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. - Jhony H. Giraldo; Vincenzo Mariano Scarrica; Antonino Staiano; Francesco Camastra; Thierry Bouwmans (ICIP, 2022)

Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks. - Jhony H. Giraldo; Fragkiskos D. Malliaros; Thierry Bouwmans (CoRR, 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)

Graph Moving Object Segmentation. - Jhony H. Giraldo; Sajid Javed; Thierry Bouwmans (IEEE Trans. Pattern Anal. Mach. Intell., 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-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 (2022)

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 (CIKM, 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 (ICASSP, 2023)

Higher-Order Sparse Convolutions in Graph Neural Networks. - Jhony H. Giraldo; Sajid Javed; Arif Mahmood; Fragkiskos D. Malliaros; Thierry Bouwmans (ICASSP, 2023)

Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction. - Nicola Corbellini; Jhony H. Giraldo; Giovanna Varni; Gualtiero Volpe (ICCV (Workshops), 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 (ICCV (Workshops), 2023)

Inductive Graph Neural Networks for Moving Object Segmentation. - Wieke Prummel; Jhony H. Giraldo; Anastasia Zakharova; Thierry Bouwmans (ICIP, 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)

Privacy-Preserving Adaptive Re-Identification Without Image Transfer. - Hamza Rami; Jhony H. Giraldo; Nicolas Winckler; Stéphane Lathuilière (ECCV (52), 2024)

Anomalous Sound Detection For Road Surveillance Based On Graph Signal Processing. - Zied Mnasri; Jhony H. Giraldo; Thierry Bouwmans (EUSIPCO, 2024)

Gabic: Graph-Based Attention Block for Image Compression. - Gabriele Spadaro; Alberto Presta; Enzo Tartaglione; Jhony H. Giraldo; Marco Grangetto; Attilio Fiandrotti (ICIP, 2024)

OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras. - Muhammad Rameez Ur Rahman; Jhony H. Giraldo; Indro Spinelli; Stéphane Lathuilière; Fabio Galasso (ICPR (16), 2024)

Continuous Product Graph Neural Networks. - Aref Einizade; Fragkiskos D. Malliaros; Jhony H. Giraldo (NeurIPS, 2024)

ALICE: Adapt your Learnable Image Compression modEl for variable bitrates. - Gabriele Spadaro; Muhammad Salman Ali; Alberto Presta; Giommaria Pilo; Sung-Ho Bae; Jhony H. Giraldo; Attilio Fiandrotti; Marco Grangetto; Enzo Tartaglione (VCIP, 2024)

Source-Guided Similarity Preservation for Online Person Re-Identification. - Hamza Rami; Jhony H. Giraldo; Nicolas Winckler; Stéphane Lathuilière (WACV, 2024)

Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks. - Aref Einizade; Fragkiskos D. Malliaros; Jhony H. Giraldo (CoRR, 2024)

Variational Graph Contrastive Learning. - Shifeng Xie; Jhony H. Giraldo (CoRR, 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)

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., 2024)

HYGENE: A Diffusion-Based Hypergraph Generation Method. - Dorian Gailhard; Enzo Tartaglione; Lirida Naviner; Jhony H. Giraldo (AAAI, 2025)

CATALOG: A Camera Trap Language-Guided Contrastive Learning Model. - Julian D. Santamaria; Claudia Isaza; Jhony H. Giraldo (WACV, 2025)

WiGNet: Windowed Vision Graph Neural Network. - Gabriele Spadaro; Marco Grangetto; Attilio Fiandrotti; Enzo Tartaglione; Jhony H. Giraldo (WACV, 2025)

Graph-based Moving Object Segmentation for underwater videos using semi-supervised learning. - Meghna Kapoor; Wieke Prummel; Jhony H. Giraldo; Badri Narayan Subudhi; Anastasia Zakharova; Thierry Bouwmans; Ankur Bansal (Comput. Vis. Image Underst., 2025)

Piecewise Constant Spectral Graph Neural Network. - Vahan Martirosyan; Jhony H. Giraldo; Fragkiskos D. Malliaros (Trans. Mach. Learn. Res., 2025)

A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning. - Amadou S. Sangare; Nicolas Dunou; Jhony H. Giraldo; Fragkiskos D. Malliaros (Trans. Mach. Learn. Res., 2025)

Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks. - Jhony H. Giraldo; Aref Einizade; Andjela Todorovic; Jhon A. Castro-Correa; Mohsen Badiey; Thierry Bouwmans; Fragkiskos D. Malliaros (IEEE Trans. Signal Inf. Process. over Networks, 2025)

COSMOS: Continuous Simplicial Neural Networks. - Aref Einizade; Dorina Thanou; Fragkiskos D. Malliaros; Jhony H. Giraldo (CoRR, 2025)

Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates. - Gabriele Spadaro; Alberto Presta; Jhony H. Giraldo; Marco Grangetto; Wei Hu; Giuseppe Valenzise; Attilio Fiandrotti; Enzo Tartaglione (CoRR, 2025)

Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning. - Shifeng Xie; Aref Einizade; Jhony H. Giraldo (CoRR, 2025)

Feature-aware Hypergraph Generation via Next-Scale Prediction. - Dorian Gailhard; Enzo Tartaglione; Lirida Naviner; Jhony H. Giraldo (CoRR, 2025)