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Maria C. Escobar

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I am a PhD candidate in Engineering and a researcher at the Center for Research and Formation in Artificial Intelligence (CINFONIA) supervised by Prof. Pablo Arbeláez at Universidad de Los Andes in Bogotá, Colombia. My main interests include Computer Vision and Deep Learning, as well as their role in human understanding through embodied AI. I am currently working on egocentric vision for 3D analysis and human pose estimation. When I’m not running experiments, I am usually crocheting, dancing or volunteering.

Photo credits: Nidhal and Marion Fregeac.
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Publications & Awards

Publications

    *Denotes equal contribution.
  • Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.
    K. Grauman et al. Arxiv, 2023.
    Webpage / paper
  • BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis.
    A. Castillo*, M. Escobar*, G. Jeanneret, A. Pumarola, P. Arbeláez, A. Thabet, A. Sanakoyeu
    Computer Vision for Metaverse @ ICCV, 2023.
    Project code / paper
  • EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization.
    C. Forigua, M. Escobar, J. Pont-Tuset, KK. Maninis, P. Arbeláez
    Ego4D challenge @ CVPR, 2023
    Project page / paper
  • SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution.
    C. Forigua, M. Escobar, P. Arbeláez
    SASHIMI @ MICCAI, 2022
    Project page / paper
  • Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022.
    M. Escobar*, L. Daza* , C. González , J. Pont-Tuset, P. Arbeláez
    Ego4D challenges @ CVPR, 2022
    Project code / paper
  • Smart pooling: AI-powered COVID-19 informative group testing.
    M. Escobar, G. Jeanneret , L. Bravo-Sánchez , A. Castillo, C. Gómez , D. Valderrama, M. F. Roa, J. Martínez, J. Madrid-Wolff , M. Cepeda, M. Guevara-Suarez , O. L. Sarmiento , A. L. Medaglia , M. Forero-Shelton , M. Velasco, J. M. Pedraza-Leal, S. Restrepo, P. Arbeláez
    Scientific Reports, 2022
    Project page / paper
  • Generalized Real-World Super-Resolution through Adversarial Robustness.
    A. Castillo*, M. Escobar*, A. Romero, R. Timofte, L. Van Gool, P. Arbeláez
    AIM @ ICCVW, 2021.
    Project page / paper
  • SIMBA: Specific Identity Markers for Bone Age Assessment.
    C. González*, M. Escobar*, L. Daza, F. Torres, G. Triana, P. Arbeláez
    MICCAI, 2020
    Project page / paper
  • LUCAS: LUng CAncer Screening with Multimodal Biomarkers.
    L. Daza, A. Castillo, M. Escobar, P. Arbeláez
    MLCDS @ MICCAI, 2020.
    Project page / paper
  • UltraGAN: Ultrasound Enhancement Through Adversarial Generation.
    M. Escobar*, A. Castillo*, A. Romero, P. Arbeláez
    SASHIMI @ MICCAI, 2020.
    Project page / paper
  • Hand Pose Estimation for Pediatric Bone Age Assessment.
    M. Escobar*, C. González*, F. Torres, L. Daza, G. Triana, P. Arbeláez
    MICCAI, 2019 (ORAL PRESENTATION)
    Project page / paper
  • An empirical study on Global Bone Age Assessment.
    F Torres, C. González, M. Escobar, L. Daza, G. Triana, P. Arbeláez
    SIPAIM, 2019.
    Project page / paper

Awards

  • 2nd place in Visual Queries 3D Localization (2023).
    Ego4D challenges @ CVPR
  • 2nd place in PNR Temporal Localization (2022).
    Ego4D challenges @ CVPR
  • 3rd place in Object State Change Classification (2022).
    Ego4D challenges @ CVPR
  • Best GPA among 45 graduating Biomedical Engineering Students (2019).
    Universidad de Los Andes
  • Member of the Colombian Talent Program (Programa Semillero de Talentos) (2019).
    Colfuturo
  • First place in the graduate national exams for Biomedical Engineering. Seventh place nationwide (2018).
    Ministerio de Educación, Colombia
  • Coulter College Design Scholar (2018).
    Biomedical Engineering Society, Medtronic
Projects

Check out what I'm working on.

Egocentric vision

2022

Image Generation

2019

Bone Age Assessment

2018

Smart Pooling

2020

Lung Cancer Diagnosis

2019

Heart Disease Diagnosis

2020
Resume

Here is my work experience and education

Work Experience

Researcher

July 2018 - Present

Center for Research and Formation in Artificial Intelligence

Researcher of the Biomedical Computer Vision (BCV) group at Uniandes, led by prof. Pablo Arbeláez. We work not only on medical images but also on current topics in computer vision such as Natural Language Processing, Generative Adversarial Networks and Video. During my time in BCV I have learned to work on multidisciplinary teams, conduct research projects and prepare paper submissions for international conferences.

Teaching Assistant

Jan 2019 - June 2019

Uniandes - Analysis and Processing of Biomedical Images

Laboratory instructor. I was in charge of designing laboratory activities regarding the use of basic computer vision tools for biomedical problems. I also had to assist and evaluate students in their final projects.

Undergrad teaching assistant

Aug 2016 - May 2018

Uniandes

In charge of designing interactive material for lectures, creating and grading midterms, modifying lab guides, assisting students during lab sessions and grading homeworks.

  • Quantitative Physiology I & II (Jan 2018 - May 2018).
  • Quantitative Physiology II (Aug 2017 - Dec 2017).
  • Probability and Statistics I (Aug 2017 - Dec 2017).
  • Algorithmic and Object-Oriented Programming I (Aug 2016 - Dec 2016).

Education

M.Sc. in Biomedical Engineering

Jan 2019 - Dec 2020

Universidad de los Andes

Main focus in computer vision. Published 5 papers in peer-reviewed conferences of medical imaging. Thesis: Generative Adversarial Networks for Robust Medical Image Analysis.

B.Sc. in Biomedical Engineering

Aug 2015 - Dec 2019

Universidad de los Andes

Graduated top of the class with the best GPA among 45 students. Minor studies in German Language and culture.

Contact

I'd Love To Connect With You.

Where to find me

Cra. 1 E No. 19A - 40
Universidad de Los Andes
Bogotá, Colombia

Email Me At

mc.escobar11@uniandes.edu.co

Connect with me

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