Accepted Papers
Poster Presentations
Paper ID | Paper Title | Author Names | Poster | Citation |
|---|---|---|---|---|
| 1 | Assessing deep learning methods for the identification of kidney stones composition in endoscopic images Medical and Biological Vision Deep Learning Poster | Andres Varelo-Silgado, Francisco Lopez-Tiro, Mauricio Mendez-Ruiz, Jonathan El Beze, Miguel Gonzalez, Vincent Estrade, Gilberto Ochoa-Ruiz, Christian Daul |  | Lopez-Tiro, F. et al., (2022). Assessing deep learning methods for the identification of kidney stones composition in endoscopic images [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Francisco_Lopz_Poster.pdf |
| 2 | Finding Significant Features for Few-Shot Learning using Dimensionality Reduction Techniques Representation Learning Low-Shot Learning Poster | Mauricio Mendez Ruiz, Ivan Garcia, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz | | Mendez Ruiz, M. et al., (2022). Finding Significant Features for Few-Shot Learning using Dimensionality Reduction Techniques [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://doi.org/10.52591/lxai202209221 |
| 3 | Assessing the Impact of the Loss Function, Architecture and Image Type for Deep Learning-Based Wildfire Segmentation Vision applications and systems Segmentation, grouping and shape analysis Poster | Jorge Francisco Ciprián-Sánchez, Gilberto Ochoa Ruiz, Lucile Rossi and Frédéric Morandini | | Ciprián-Sánchez, J.F. et al., (2022). Assessing the Impact of the Loss Function, Architecture and Image Type for Deep Learning-Based Wildfire Segmentation [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Jorge_Ciprian_Poster.pdf |
| 5 | Translating images into graphs: hybrid graph convolutional neural networks for landmark-based anatomical segmentation Medical and Biological Vision Segmentation, grouping and shape analysis Poster | Nicolás Gaggion, Lucas Mansilla, Diego Milone, Enzo Ferrante | | Gaggion, N. et al., (2022). Translating images into graphs: hybrid graph convolutional neural networks for landmark-based anatomical segmentation [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Nicolas_Gaggion_Poster.pdf |
| 6 | Interactive Web-Based Application for Prostate Annotation in MRI Medical and biological vision Segmentation, grouping and shape analysis Poster | Júlia Romagosa, Christian Mata, Raúl Benítez | | Romagosa, J. et al., (2022). Interactive Web-Based Application for Prostate Annotation in MRI [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://doi.org/10.52591/lxai202209222 |
| 9 | Learning Privacy-preserving Optics For Human Pose Estimation Privacy in Vision Homography Human pose estimation | Carlos Hinojosa, Juan Carlos Niebles, Henry Arguello | | Hinojosa, C. et al., (2022). Learning Privacy-preserving Optics For Human Pose Estimation [Human pose estimation Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Carlos_Hinojosa_Poster.pdf |
| 10 | Using object detection to measure excavator teeth length Photogrammetry and remote sensing Object pose estimation and tracking Poster | Andrés Martinez, Marco Portocarrero | | Portocarrero, M. et al., (2022). Using object detection to measure excavator teeth length [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Marco_Portocarrero_Poster.pdf |
| 12 | Comparison between machine learning and deep learning for the classification of mammograms in BI-RADS Medical and biological vision Machine Learning Poster | Ignacio Morague, Raul Benítez, Christian Mata | | Morague, I. et al., (2022). Comparison between machine learning and deep learning for the classification of mammograms in BI-RADS [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Ignacio_Morague_Poster.pdf |
| 14 | Self-supervised Learning for Sonar Images: Enhancing Multi-modal Perception for Underwater Applications Self-Supervised Learning Multimodal Learning Poster | Alan Preciado-Grijalva, Miguel Bande, Bilal Wehbe, Matias Valdenegro-Toro | | Preciado-Grijalva, A. et al., (2022). Self-supervised Learning for Sonar Images: Enhancing Multi-modal Perception for Underwater Applications [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Alan_Preciado_Poster.pdf |
| 15 | Graph Neural Blocks on Segmentation Segmentation, grouping and shape analysis Representation learning Poster | Darwin Saire, Salvatore Tabbone | | Saire, D. et al., (2022). Graph Neural Blocks on Segmentation [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://research.latinxinai.org/papers/iccv/2022/pdf/Darwin_Saire_Poster.pdf |
| 16 | Classification of Multiple Panamanian Watermelon Varieties Using Convolutional Neural Networks with Transfer Learning Recognition: Categorization Transfer Learning Poster | Kenji Contreras, Danilo Cáceres-Hernández, Anel Henry, Fatima Rangel, Emmy Saez, Kang-Hyun Jo, Javier E. Sánchez Galán | | Sánchez Galán, J. E. et al., (2022). Classification of Multiple Panamanian Watermelon Varieties Using Convolutional Neural Networks with Transfer Learning [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://doi.org/10.52591/lxai202209223 |
| 17 | Explainable neural image recommendation using Network Dissection visual concepts Explainable AI for CV Neural generative models Poster | Antonio Ossa-Guerra, Denis Parra, Hans Löbel | | Ossa-Guerra, A. et al., (2022). Explainable neural image recommendation using Network Dissection visual concepts [Poster Presentation]. International Conference on Computer Vision: LatinX in AI (LXAI) Research Workshop 2022, Vancouver, Canada. https://doi.org/10.52591/lxai202209224 |