Jhony H. Giraldo
47
Documents
Publications
Publications
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CATALOG: A Camera Trap Language-guided Contrastive Learning Model2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb 2025, Tucson, United States. pp.1197-1206, ⟨10.1109/WACV61041.2025.00124⟩
Communication dans un congrès
hal-05166701
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HYGENE: A Diffusion-Based Hypergraph Generation MethodThe 39th AAAI Conference on Artificial Intelligence e (AAAI-25), Association for the Advancement of Artificial Intelligence, Feb 2025, Philadelphia, United States. pp.16682-16690, ⟨10.1609/aaai.v39i16.33833⟩
Communication dans un congrès
hal-05166733
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Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-RatesIEEE International Conference on Multimedia and Expo (ICME 2025), Jun 2025, Nantes, France
Communication dans un congrès
hal-05160415
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OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras27 th International Conference on Pattern Recognition (ICPR), Dec 2024, Kolkata, INDIA, India. pp.18-33, ⟨10.1007/978-3-031-78444-6_2⟩
Communication dans un congrès
hal-04794160
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WiGNet: Windowed Vision Graph Neural Network2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb 2025, Tucson, United States. pp.859-868, ⟨10.1109/WACV61041.2025.00093⟩
Communication dans un congrès
hal-05166688
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Anomalous Sound Detection For Road Surveillance Based On Graph Signal ProcessingThe 32nd European Conference on Signal Processing : EUSIPCO 2024, Aug 2024, Lyon, France. ⟨10.23919/EUSIPCO63174.2024.10715291⟩
Communication dans un congrès
hal-04756448
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Source-Guided Similarity Preservation for Online Person Re-Identification2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024, Waikoloa, United States. pp.1700-1709, ⟨10.1109/WACV57701.2024.00173⟩
Communication dans un congrès
hal-04541703
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Variational Graph Contrastive LearningNeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice, Dec 2024, Vancouver, Canada
Communication dans un congrès
hal-05167525
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Gabic: Graph-Based Attention Block for Image Compression2024 IEEE International Conference on Image Processing (ICIP), Oct 2024, Abu Dhabi, United Arab Emirates. pp.1802-1808, ⟨10.1109/ICIP51287.2024.10647413⟩
Communication dans un congrès
hal-05016959
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ALICE: Adapt your Learnable Image Compression modEl for variable bitrates2024 IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec 2024, Tokyo, Japan. pp.1-5, ⟨10.1109/VCIP63160.2024.10849832⟩
Communication dans un congrès
hal-05016997
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Privacy-Preserving Adaptive Re-Identification without Image Transfer18th European Conference on Computer Vision ECCV 2024, Sep 2024, Milan, Italy. pp.95-111, ⟨10.1007/978-3-031-72943-0_6⟩
Communication dans un congrès
hal-04794154
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Continuous Product Graph Neural NetworksNeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver (BC), Canada
Communication dans un congrès
hal-04896043
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Few Labels are Enough! Semi-Supervised Graph Learning for Social InteractionProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2023, Paris, France. pp.3060-3068
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hal-04269170
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Time-varying Signals Recovery via Graph Neural NetworksICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096168⟩
Communication dans un congrès
hal-04368767
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Higher-Order Sparse Convolutions in Graph Neural NetworksICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023, Rhodes Island, France. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096494⟩
Communication dans un congrès
hal-04536908
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On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural NetworksCIKM 2023 - The 32nd ACM International Conference on Information and Knowledge Management, Oct 2023, Birmingham United Kingdom, United Kingdom. pp.566-576, ⟨10.1145/3583780.3614997⟩
Communication dans un congrès
hal-04263891
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Higher-order Sparse Convolutions in Graph Neural NetworksICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096494⟩
Communication dans un congrès
hal-04368752
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Shannon Strikes Again! Entropy-Based Pruning in Deep Neural Networks for Transfer Learning Under Extreme Memory and Computation BudgetsProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2023, Paris, France. pp.1518-1522
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hal-04269159
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Inductive Graph Neural Networks for Moving Object Segmentation2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.2730-2734, ⟨10.1109/ICIP49359.2023.10222668⟩
Communication dans un congrès
hal-04263887
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Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation2022 IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.16-20, ⟨10.1109/ICIP46576.2022.9897774⟩
Communication dans un congrès
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Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021, Montreal, Canada. pp.225-233, ⟨10.1109/ICCVW54120.2021.00030⟩
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hal-03481426
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The Emerging Field of Graph Signal Processing for Moving Object SegmentationInternational Workshop on Frontiers of Computer Vision, IW-FCV 2021, Feb 2021, Daegu, South Korea. pp.31-45, ⟨10.1007/978-3-030-81638-4_3⟩
Communication dans un congrès
hal-03423283
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Moving Object Detection for Event-based Vision using Graph Spectral Clustering2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021, Montreal, Canada. pp.876-884, ⟨10.1109/ICCVW54120.2021.00103⟩
Communication dans un congrès
hal-03481427
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Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial NetworksInternational Workshop on Frontiers of Computer Vision, IW-FCV 2021, Feb 2021, Daegu, South Korea. pp.3-16, ⟨10.1007/978-3-030-81638-4_1⟩
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hal-03423279
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GraphBGS: Background Subtraction via Recovery of Graph Signals2020 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, Italy. pp.6881-6888, ⟨10.1109/ICPR48806.2021.9412999⟩
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hal-03423274
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On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 CasesIEEE International Workshop on Machine Learning for Signal Processing, Sep 2020, Espoo, Finland. pp.1-6, ⟨10.1109/MLSP49062.2020.9231810⟩
Communication dans un congrès
hal-04163888
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Semi-Supervised Background Subtraction Of Unseen Videos: Minimization Of The Total Variation Of Graph Signals2020 IEEE International Conference on Image Processing (ICIP), Oct 2020, Abu Dhabi, United Arab Emirates. pp.3224-3228, ⟨10.1109/ICIP40778.2020.9190887⟩
Communication dans un congrès
hal-02958697
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Sampling of Graph Signals with Blue Noise Dithering2019 IEEE Data Science Workshop (DSW), Jun 2019, Minneapolis, United States. pp.150-154, ⟨10.1109/DSW.2019.8755603⟩
Communication dans un congrès
hal-04163902
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Blue-Noise Sampling of Signals on Graphs2019 13th International conference on Sampling Theory and Applications (SampTA), Jul 2019, Bordeaux, France. pp.1-5, ⟨10.1109/SampTA45681.2019.9030829⟩
Communication dans un congrès
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Graph Neural Networks for Moving Objects Detection in VideosPattern Recognition and Computer Vision in the New AI Era, 09, WORLD SCIENTIFIC, pp.121-143, 2025, Series in Computer Vision, 978-981-98-0714-7. ⟨10.1142/9789819807154_0006⟩
Chapitre d'ouvrage
hal-05197402
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A Transductive and Inductive GNNs for Physical Moving Objects Detection in Surface Scenes for Digital TwinsDigital Twins and Simulation Technology, 1, Chapman and Hall/CRC, pp.133-149, 2025, 9781032949390. ⟨10.1201/9781003582489-10⟩
Chapitre d'ouvrage
hal-05115640
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Moving Objects Detection in Video Processing: A Graph Signal Processing Approach for Background SubtractionArtificial Intelligence, 1, Chapman and Hall/CRC, pp.171-181, 2021, ⟨10.1201/9781003140351-18⟩
Chapitre d'ouvrage
hal-03481460
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Deep learning based background subtraction : a systematic surveyHandbook of Pattern Recognition and Computer Vision, 6, WORLD SCIENTIFIC, pp.51-73, 2020, ⟨10.1142/9789811211072_0003⟩
Chapitre d'ouvrage
hal-02560128
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Graph-based Algorithms in Computer Vision, Machine Learning, and Signal ProcessingNeural and Evolutionary Computing [cs.NE]. Université de La Rochelle, 2022. English. ⟨NNT : 2022LAROS037⟩
Thèse
tel-04126434
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