PeopleofSuperintelligence

Researcher

Jorge Sánchez

Also known as J. Sánchez

Jorge Sánchez is a computer-vision and machine-learning researcher whose work spans 3D motion estimation, Fisher-kernel image classification and evaluation of generated opinion summaries. He earned a PhD in Engineering Sciences from the Universidad Nacional de Córdoba and joined CONICET in 2014. His 2010 Fisher-kernel paper received ECCV’s Koenderink Prize in 2020, and by 2023 he headed Applied Machine Learning Research at Mercado Libre Argentina. In 2026, he coauthored FactSim, an automated method for measuring factual consistency and coverage in generated opinion summaries, with a MercadoLibre affiliation.

Works
23
Citations
6,992
h-index
11

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2009

    3D flow for driver assistance

    In 2009, he coauthors “Estimating 3D flow for driver assistance applications” with Reinhard Klette and Eduardo Destefanis.

  2. 2010

    Improving the Fisher kernel

    In 2010, during a research internship at Xerox Research Center Europe, he coauthors “Improving the Fisher Kernel for Large-Scale Image Classification” with Florent Perronnin and Thomas Mensink.

  3. 2013

    Fisher-vector image classification

    In 2013, he coauthors “Image Classification with the Fisher Vector: Theory and Practice” with Florent Perronnin, Thomas Mensink and Jakob Verbeek in the International Journal of Computer Vision.

  4. Since 2014

    Research at CONICET

    He joins CONICET in 2014 as a researcher in machine learning and computer vision. He holds a PhD in Engineering Sciences from the Universidad Nacional de Córdoba.

  5. By 2019

    Computer vision with DeepVision

    By 2019, he works with Córdoba startup DeepVision through CONICET’s Investigadores en Empresas program. He specializes in computer vision and extracts information from still images and video.

  6. 2020

    The Koenderink Prize

    In 2020, ECCV awards him the Koenderink Prize for his contribution to computer vision and his coauthored Fisher-kernel paper.

  7. 2023

    Head of applied machine learning

    At IA@Litoral in 2023, he heads the Applied Machine Learning Research group at Mercado Libre Argentina.

  8. 2026

    Research at MercadoLibre

    In 2026, he coauthors FactSim, an automated method for measuring factual consistency and coverage in generated opinion summaries. The paper lists his affiliation as MercadoLibre.

Career

  1. Since 2014National Scientific and Technical Research CouncilResearcher in machine learning and computer vision
  2. 2019DeepVision
  3. 2012–2014Argentine-German Geodetic Observatory
  4. 2009–2012National Technological University
  5. Mercado LibreHead of Applied Machine Learning Research

Education

  1. Universidad Nacional de CórdobaPhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Improving the Fisher Kernel for Large-Scale Image Classification2010 · Lecture notes in computer science · 2,588 citationsWith Florent Perronnin
  2. Aggregating Local Image Descriptors into Compact Codes2011 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,504 citationsWith Cordelia Schmid, Florent Perronnin, Hervé Jégou and Matthijs Douze
  3. Image Classification with the Fisher Vector: Theory and Practice2013 · International Journal of Computer Vision · 1,501 citationsWith Florent Perronnin and Jakob Verbeek
  4. Large-scale image retrieval with compressed Fisher vectors2010 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 773 citationsWith Florent Perronnin
  5. High-dimensional signature compression for large-scale image classification2011 · 272 citationsWith Florent Perronnin

From OpenAlex, as of 21 October 2026.

  1. The United States employs an estimated 48% of people shaping AIIncludes National Scientific and Technical Research Council. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Argentine-German Geodetic Observatory. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  4. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Jorge Sánchez yet. Send us a free-licensed photo.

  1. PublicacionesCIII - CIII UTN-FRC ciii.frc.utn.edu.ar. Checked 21 October 2026.
  2. Jorge Sánchez::Computer Vision & Other Stuff famaf.unc.edu.ar. Checked 21 October 2026.
  3. RECONOCIMIENTO INTERNACIONAL PARA INVESTIGADOR DE FAMAF famaf.unc.edu.ar. Checked 21 October 2026.
  4. IA@Litoral 2023 sinc.unl.edu.ar. Checked 21 October 2026.
  5. Vínculo inteligente - Facultad de Matemática, Astronomía, Física y Computación famaf.unc.edu.ar. Checked 21 October 2026.
  6. FactSim: Fact-Checking for Opinion Summarization arxiv.org. Checked 21 October 2026.