Jhony H. Giraldo

This website is outdated, please visit my new website https://jhonygiraldo.github.io/

Short Bio

I am an Assistant Professor at Télécom Paris, Institut Polytechnique de Paris, working in the Information Processing and Communications Laboratory (LTCI) in the Multimedia team. My research interests include the fundamentals and applications of Geometric Deep Learning (Graph and Simplicial Neural Networks), Computer Vision, Machine Learning, and Graph Signal Processing. I have worked on image and video processing, supervised and semi-supervised learning, and sampling and reconstruction of graph signals.

I received my Ph.D. in applied mathematics at La Rochelle Université, Laboratoire MIA (Mathématiques, Image, et Applications), France in 2022. During my Ph.D. studies I was a visiting Ph.D. student at Centre de Vision Numérique (CVN), Inria OPIS at CentraleSupélec, Université Paris-Saclay, France in 2022. I was also a visiting scholar at the Università degli Studi di Napoli Parthenope, Italy, working at the CVPR Lab “Alfredo Petrosino” in 2021.

Before my Ph.D. studies, I spent 15 months at the University of Delaware, USA, between 2018 and 2019, working on Graph Signal Processing as a Research Assistant. I received a Master of Science degree with honors in 2018 from the Universidad de Antioquia, Colombia, and a Bachelor in Electronics Engineering at the same university in 2016.

Recent News

December 2024: I've been awarded the Academic Grant Program from NVIDIA for my project Bridging the Gap between Foundation Models and Camera Trap Image Recognition!
December 2024: Our paper "HYGENE: A Diffusion-based Hypergraph Generation Method" has been accepted at the AAAI Conference on Artificial Intelligence 2025!
November 2024: Our paper "Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks" was accepted in IEEE Transactions on Signal and Information Processing over Networks!
October 2024: Our paper "CATALOG: A Camera Trap Language-guided Contrastive Learning Model" has been accepted at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025. More details soon.
October 2024: Our paper "Variational Graph Contrastive Learning" has been accepted at the NeurIPS 2024 Workshop: Self-Supervised Learning - Theory and Practice!
September 2024: Our paper "Continuous Product Graph Neural Networks" has been accepted at the Advances in Neural Information Processing Systems (NeurIPS) 2024 conference!
September 2024: I'll virtually present a seminar entitled "A Journey Through Graphs for Spatiotemporal Analysis" at the DEGAS Webinar Series 2024. More information here.
September 2024: I'll be delivering a keynote talk entitled "A Journey Through Graphs for Spatiotemporal Analysis" at the MATHIAS Days International Conference by TotalEnergies R&D 2024, in Magny-le-Hongre, France.
September 2024: Our paper "WiGNet: Windowed Vision Graph Neural Network" has been accepted in the first round at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025. More details soon.
August 2024: Our ECCV 2024 paper "Privacy-Preserving Adaptive Re-Identification without Image Transfer" has been selected as an Oral Presentation!
August 2024: Our paper "OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras" has been accepted at the International Conference on Pattern Recognition (ICPR) 2024.
July 2024: Our paper "Privacy-Preserving Adaptive Re-Identification without Image Transfer" has been accepted at the European Conference on Computer Vision (ECCV) 2024.
July 2024: My ANR JCJC project on Simplicial Neural Networks was selected for funding! I'll be looking for a PhD student and a postdoc, please stay tuned.
June 2024: Our paper "GABIC: Graph-based Attention Block for Image Compression" has been accepted at the IEEE International Conference on Image Processing (ICIP) 2024.
May 2024: Our paper "Anomalous Sound Detection for Road Surveillance based on Graph Signal Processing" has been accepted at the European Conference on Signal Processing (EUSIPCO) 2024.
May 2024: I'll be serving as Area Chair for the British Machine Vision Conference (BMVC) 2024.
March 2024: Our paper "Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction", has been accepted at IEEE Transactions on Neural Networks and Learning Systems!
January 2024: Our paper "Estimation of a Causal Directed Acyclic Graph Process using Non-Gaussianity", has been accepted at Digital Signal Processing.
October 2023: Our paper "Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction" published at IEEE/CVF International Conference on Computer Vision - Workshops won the best paper award of the Artificial Social Intelligence Workshop.
August 2023: Our paper "Source-Guided Similarity Preservation for Online Person Re-Identification", has been accepted at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024. More details soon.
August 2023: Our paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" has been accepted at the ACM Conference on Information and Knowledge Management (CIKM) 2023 as an Oral Presentation. More details soon.
August 2023: Two papers were accepted at IEEE/CVF International Conference on Computer Vision - Workshops (ICCV-W) 2023, one paper in the Artificial Social Intelligence Workshop, and another in the Workshop on Resource Efficient Deep Learning for Computer Vision. More details soon.
August 2023: We have a Ph.D. position open to work on Graph Neural Networks for Systems-on-Chip! [Details].
July 2023: I'm Program Chair of the LatinX in CV (LXCV) Workshop at ICCV 2023 [Details].
June 2023: One paper was accepted at the IEEE International Conference on Image Processing 2023.
June 2023: Our paper "Uncertainty Clustering Internal Validity Assessment using Fréchet Distance for Unsupervised Learning" was accepted in Engineering Applications of Artificial Intelligence.
March 2023: Our special session entitled "GraDSci: Graph Data Science and Applications" has been accepted at the 10th IEEE International Conference on Data Science and Advance Analytics with Fragkiskos D. Malliaros. We're looking forward to your submissions. [Web Page].
February 2023: We have an internship position open to work on deep Graph Neural Networks (jointly with Fragkiskos D. Malliaros from CentraleSupélec)! [Details].
February 2023: Two papers accepted at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023.
January 2023: We have an internship position open in our team at Télécom Paris - Institut Polytechnique de Paris to work on Image Generation from Event-based Data [Details].
October 2022: Officially started at Télécom Paris - Institut Polytechnique de Paris as Assistant Professor.
September 2022: I successfully defended my Ph.D. thesis entitled "Graph-based Algorithms in Computer Vision, Machine Learning, and Signal Processing".
June 2022: One paper was accepted at IEEE International Conference on Image Processing 2022.
June 2022: Our paper "SemiSegSAR: A Semi-supervised Segmentation Algorithm for Ship SAR Images" was accepted in IEEE Geoscience and Remote Sensing Letters.
May 2022: I'm happy to announce that I'll be joining Télécom Paris - Institut Polytechnique de Paris in October 2022 as Assistant Professor.
March 2022: Our paper “Reconstruction of Time-varying Graph Signals via Sobolev Smoothness” was accepted in IEEE Transactions on Signal and Information Processing over Networks [DOI] [Preprint] [GitHub]
January 2022: I got the mobility grant "Mobilité Internationale", Institut DATAIA, Universite Paris-Saclay.
December 2021: I'll be joining Centre de Vision Numérique (CVN), Inria OPIS at CentraleSupélec, Université Paris-Saclay for a research stay of 5 months beginning in January with Prof. Fragkiskos D. Malliaros to work on the development of robust Graph Neural Network models.
August 2021: Officially started at Università degli Studi di Napoli Parthenope as Visiting Researcher.
August 2021: Two papers were accepted in the IEEE/CVF International Conference on Computer Vision - Workshops 2021.
February 2021: Two papers were accepted in the 27th International Workshop on Frontiers of Computer Vision 2021.
November 2020: Our paper “Graph Moving Object Segmentation” was accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence. [DOI] [Preprint] [GitHub] [Supplementary Material]
October 2020: One paper was accepted at International Conference on Pattern Recognition 2020.
September 2020: Invited talk on “The Emerging Field of Graph Signal Processing: Overview and Applications to Computer Vision and Machine Learning” at ITEC 2020, La Paz, Bolivia.
July 2020: One paper was accepted in IEEE International Workshop on Machine Learning for Signal Processing 2020.
May 2020: One paper was accepted at IEEE International Conference on Image Processing 2020.
January 2020: New paper out “GraphBGS: Background Subtraction via Recovery of Graph Signals”. [ArXiv]
October 2019: Officially started at La Rochelle Université as a Ph.D. student.
August 2019: We have released the source codes of the paper "Blue-Noise Sampling on Graphs". [GitHub]
June 2019: Our paper “Blue-Noise Sampling on Graphs” was accepted in IEEE Transactions on Signal and Information Processing over Networks. [DOI]

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