publications

2024

1. 

   Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models

   Laura Bravo-Sánchez, Jaewoo Heo, Zhenzhen Weng, and 2 more authors

   arXiv preprint arXiv:2410.00309, 2024

   Bib PDF Code Website

   @article{bravo2024ask,
     title = {Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models},
     author = {Bravo-S{\'a}nchez, Laura and Heo, Jaewoo and Weng, Zhenzhen and Wang, Kuan-Chieh and Yeung-Levy, Serena},
     journal = {arXiv preprint arXiv:2410.00309},
     year = {2024},
     pdf = {https://arxiv.org/abs/2410.00309},
     website = {https://laubravo.github.io/apu_website/},
   }

2. 

   Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains

   Zhenzhen Weng, Laura Bravo-Sánchez, and Serena Yeung-Levy

   In 2024 International Conference on 3D Vision (3DV), 2024

   Bib PDF Code Website

   @inproceedings{weng2024diffusion,
     title = {Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains},
     author = {Weng, Zhenzhen and Bravo-S{\'a}nchez, Laura and Yeung-Levy, Serena},
     booktitle = {2024 International Conference on 3D Vision (3DV)},
     pages = {257--267},
     year = {2024},
     organization = {IEEE},
     website = {https://zzweng.github.io/projects/diffusion_hpc.html},
     pdf = {https://arxiv.org/pdf/2303.09541},
   }

2022

1. 

   Smart pooling: AI-powered COVID-19 informative group testing

   Marı́a Escobar, Guillaume Jeanneret, Laura Bravo-Sánchez, and 8 more authors

   Scientific Reports, 2022

   Bib PDF Code

   @article{escobar2022smart,
     title = {Smart pooling: AI-powered COVID-19 informative group testing},
     author = {Escobar, Mar{\'\i}a and Jeanneret, Guillaume and Bravo-S{\'a}nchez, Laura and Castillo, Angela and G{\'o}mez, Catalina and Valderrama, Diego and Roa, Mafe and Mart{\'\i}nez, Juli{\'a}n and Madrid-Wolff, Jorge and Cepeda, Martha and others},
     journal = {Scientific Reports},
     volume = {12},
     number = {1},
     pages = {6519},
     year = {2022},
     publisher = {Nature Publishing Group UK London},
     pdf = {https://www.nature.com/articles/s41598-022-10128-9},
   }

2. 

   Surgical instrument grounding for robot-assisted interventions

   Laura Bravo-Sánchez* Cristina González^*, and Pablo Arbeláez

   Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022

   Bib PDF

   @article{doi:10.1080/21681163.2021.2002725,
     author = {Cristina Gonz\'alez, Laura Bravo-S\'anchez and Arbel\'aez, Pablo},
     title = {Surgical instrument grounding for robot-assisted interventions},
     journal = {Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization},
     volume = {10},
     number = {3},
     pages = {299--307},
     year = {2022},
     publisher = {Taylor \& Francis},
     doi = {10.1080/21681163.2021.2002725},
     pdf = {https://www.tandfonline.com/doi/abs/10.1080/21681163.2021.2002725},
   }

2021

1. 

   Micro-surgical anastomose workflow recognition challenge report

   Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut, and 8 more authors

   Computer Methods and Programs in Biomedicine, 2021

   Bib

   @article{huaulme2021micro,
     title = {Micro-surgical anastomose workflow recognition challenge report},
     author = {Huaulm{\'e}, Arnaud and Sarikaya, Duygu and Le Mut, K{\'e}vin and Despinoy, Fabien and Long, Yonghao and Dou, Qi and Chng, Chin-Boon and Lin, Wenjun and Kondo, Satoshi and Bravo-S{\'a}nchez, Laura and others},
     journal = {Computer Methods and Programs in Biomedicine},
     volume = {212},
     pages = {106452},
     year = {2021},
     publisher = {Elsevier},
   }

2. 

   Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge

   Tobias Roß, Annika Reinke, Peter M Full, and 8 more authors

   Medical image analysis, 2021

   Bib

   @article{ross2021comparative,
     title = {Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge},
     author = {Ro{\ss}, Tobias and Reinke, Annika and Full, Peter M and Wagner, Martin and Kenngott, Hannes and Apitz, Martin and Hempe, Hellena and Mindroc-Filimon, Diana and Scholz, Patrick and Tran, Thuy Nuong and others},
     journal = {Medical image analysis},
     volume = {70},
     pages = {101920},
     year = {2021},
     publisher = {Elsevier},
   }

2020

1. 

   ISINet: an instance-based approach for surgical instrument segmentation

   Cristina González^*, Laura Bravo-Sánchez^*, and Pablo Arbelaez

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020

   Bib PDF Code

   @inproceedings{gonzalez2020isinet,
     title = {ISINet: an instance-based approach for surgical instrument segmentation},
     author = {Gonz{\'a}lez, Cristina and Bravo-S{\'a}nchez, Laura and Arbelaez, Pablo},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
     pages = {595--605},
     year = {2020},
     organization = {Springer},
     pdf = {https://arxiv.org/pdf/2007.05533},
   }

2019

1. 

   Finding Four-Leaf Clovers: A Benchmark for Fine-Grained Object Localization

   L. Bravo, A. Pardo, G. Perez and P. Arbelaez

   The Sixth Workshop on Fine-Grained Visual Categorization (FGVC6), CVPR 2019., 2019

   Bib PDF Poster Website

   @article{BPPA_FGVC6,
     author = {{L. Bravo, A. Pardo, G. Perez and P. Arbelaez}},
     title = {{Finding Four-Leaf Clovers: A Benchmark for Fine-Grained Object Localization}},
     journal = {{The Sixth Workshop on Fine-Grained Visual Categorization (FGVC6), CVPR 2019.}},
     year = {2019},
     website = {https://www.gperezs.com/projects/flc.html},
     pdf = {https://drive.google.com/file/d/1RNsGo9rMAqz5Qc38fISueCR7VHoSEM4h/view},
     dataset = {https://drive.google.com/file/d/1fq6ZeVg2-CjRtKgcBcnKy9jLfUIabfe8/view?usp=sharing},
   }