PeopleofSuperintelligence

Researcher

Leonid Sigal

Leonid Sigal is a computer vision researcher whose work spans human pose estimation, visual understanding and video reasoning. He studied computer science and mathematics at Boston University and computer science at Brown, built industrial vision applications at Cognex, and later held research roles at the University of Toronto, Disney Research and Carnegie Mellon. A 2006 paper with Michael Black estimated 3D human pose from a single image, and his 2025 CVPR paper “Black Swan” focused on abductive and defeasible reasoning in unexpected video events. Since 2017, he has worked on visual and multimodal understanding at UBC, and he received a Killam Accelerator Research Fellowship in 2021. As of October 2026, he is Associate Head of Faculty Affairs and Professor at UBC and a Canada CIFAR Artificial Intelligence Chair at the Vector Institute.

Badges

Timeline

  1. 1999–2003

    Boston degrees and industrial vision

    At Boston University, he earns degrees in computer science and mathematics and an MA in computer science in 1999; he earns an MS in computer science at Brown in 2003. From 1999 to 2001, he works as a senior vision engineer at Cognex, building industrial vision applications for pattern analysis and verification.

  2. 2006

    A 3D pose paper

    With Michael Black, he coauthors “Predicting 3D People from 2D Pictures,” which wins the Best Paper Award at the Articulated Motion and Deformable Objects Conference in 2006. Their hierarchical probabilistic framework estimates a person's 3D pose from a single image.

  3. 2007–2017

    Toronto, Disney and Carnegie Mellon

    He completes a PhD in computer science at Brown in 2008 and holds a postdoctoral researcher role in the University of Toronto's Department of Computer Science from 2007 to 2009. At Disney Research, he works as a postdoctoral associate from 2009 to 2010, a research scientist from 2010 to 2013 and a senior research scientist from 2014 to 2017; he also serves as adjunct faculty in Carnegie Mellon's Robotics Institute from 2012 to 2017.

  4. Since 2017

    Professor at UBC

    In 2017, he joins UBC's Department of Computer Science as an Associate Professor. His work spans computer vision, machine learning and computer graphics, including visual and multimodal understanding, reasoning and generation.

  5. 2018–2023

    A Canada Research Chair

    From 2018 to 2023, he holds an NSERC Tier 2 Canada Research Chair in computer vision and machine learning. In 2021, he receives the UBC Killam Accelerator Research Fellowship.

  6. 2025

    Black Swan at CVPR

    At CVPR in 2025, he coauthors “Black Swan: Abductive and Defeasible Video Reasoning in Unexpected Events.”

  7. As of October 2026

    Associate Head at UBC

    As of October 2026, he is Associate Head of Faculty Affairs and Professor in UBC's Department of Computer Science. He also holds a Canada CIFAR Artificial Intelligence Chair at the Vector Institute.

Career

  1. Since 2017University of British ColumbiaAssociate Professor
  2. NowVector InstituteCanada CIFAR Artificial Intelligence Chair
  3. 2012–2017Carnegie Mellon UniversityAdjunct Faculty
  4. 2009–2017Disney ResearchPostdoctoral Associate, Research Scientist
  5. 2007–2009University of TorontoPostdoctoral Researcher
  6. 1999–2001CognexSenior Vision Engineer

Education

  1. 2008Brown UniversityPhD in computer science
  2. 2003Brown UniversityMS in computer science
  3. 1999Boston UniversityDegrees in computer science and mathematics; MA in computer science

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Leonid Sigal. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of British Columbia. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  4. Nonprofit roles are 2.3 times as common in AI safetyIncludes Vector Institute. We estimate where people focused on safety, alignment and evaluation work. Nonprofit roles appear for 25.1% of safety people with known affiliations, compared with 11.0% in other areas.

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 Leonid Sigal yet. Send us a free-licensed photo.

  1. Human Pose and Motion, Challenges and Physics-based Models - Robotics Institute Carnegie Mellon University ri.cmu.edu. Checked 21 October 2026.
  2. Best Paper Award to Michael Black and Leonid Sigal cs.brown.edu. Checked 21 October 2026.
  3. Leonid Sigal's Personal Web Page cs.ubc.ca. Checked 21 October 2026.
  4. Leonid Sigal - Vector Institute for Artificial Intelligence vectorinstitute.ai. Checked 21 October 2026.
  5. Computer Vision Researcher Wins Killam Accelerator Fellowship | Computer Science at UBC cs.ubc.ca. Checked 21 October 2026.
  6. Leonid Sigal's Personal Web Page cs.ubc.ca. Checked 21 October 2026.
  7. Leonid Sigal | Computer Science at UBC cs.ubc.ca. Checked 21 October 2026.