Laura Bravo Sánchez

Hi! I’m a Ph.D. student at Stanford University where I’m advised by Prof. Serena Yeung-Levy.

My research focuses on understanding human social interaction and behavior through computer vision. I develop 3D human mesh estimation and, more broadly, video understanding models, with a focus on applications in healthcare. My goal is to create scalable AI systems to analyze complex social dynamics, particularly those behind parent-child interactions.

Previously I obtained my M.Sc and B.Sc at Universidad de los Andes in Biomedical Engineering and worked on computer vision for surgical scene understanding under Prof. Pablo Arbeláez.

You can download my CV here.

news

Oct 10, 2024	Looking for summer 2025 internships. Feel free to contact me if you have an opportunity!
Oct 01, 2024	The preprint for our latest work on tacklin data scarcity for human interactions is out on arxiv.
Mar 08, 2024	I have been invited to give a technical talk at the WiDS conference on March 8th.

selected publications

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/},
}

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},
}

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},
}

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},
}