PeopleofSuperintelligence

Researcher

Yael Moses

Yael Moses is a computer vision researcher whose work spans face recognition, multi-camera tracking, photo sequencing and AI-based visual perception. She earned a PhD in computer science at the Weizmann Institute, completed a postdoctoral fellowship in Oxford's Robotics group, and joined the Interdisciplinary Center Herzliya's computer science school in 1999. Her career includes a Sydney sabbatical from 2004 to 2007, work on dense crowd tracking and photo sequencing, and a 2025 duet-dancing paper; she also served as an ICCV 2025 Broadening Participation Chair. As of October 2026, she researches computer vision at Reichman University; in 2023, she was a faculty member there, and in 2026 she coauthored an AI study of cloud pareidolia.

Now at
Reichman University

Timeline

  1. 1993–1994

    PhD and face recognition

    She earns a PhD in computer science at the Weizmann Institute in 1994 and works as a postdoctoral fellow in Oxford University's Robotics group from 1993 to 1994. In 1994, she coauthors ‘Face recognition: The problem of compensating for changes in illumination direction,’ which compares differences between images of the same face under different imaging conditions with differences between distinct faces.

  2. 1999

    Joining the Interdisciplinary Center

    She joins the school of computer science at the Interdisciplinary Center, Herzliya, in 1999.

  3. 2004–2007

    A Sydney sabbatical

    She spends 2004 to 2007 on sabbatical in Sydney at NICTA and UNSW.

  4. 2010–2013

    Crowd tracking and photo sequencing

    In 2010, she coauthors ‘Tracking in a Dense Crowd Using Multiple Cameras,’ which combines views from several cameras and uses height information for head segmentation. At ICCV 2013, she coauthors ‘Space-Time Tradeoffs in Photo Sequencing,’ which recovers the order of still images of a dynamic event from uncalibrated cameras.

  5. July 2023

    Faculty at Reichman University

    In July 2023, she is a faculty member at Reichman University with research interests in computer vision.

  6. 2025

    A duet-dancing paper

    In 2025, she coauthors ‘Duet Dancing from a Solo Dance Video’ with Yarin Moshe and Ariel Shamir. At ICCV 2025, she serves as a Broadening Participation Chair.

  7. 2026

    Animal shapes in clouds

    In 2026, she coauthors ‘Diamonds in the Sky: Pareidolic Animals in Clouds,’ an AI method to predict which animals people are likely to perceive in clouds. It uses a diffusion model to turn cloud segments into animal shapes that help people perceive specific animals.

  8. As of October 2026

    Research at Reichman University

    As of October 2026, she is a computer vision researcher affiliated with Reichman University.

Career

  1. Since 1999Reichman UniversityFaculty member
  2. 2004–2007National ICT Australia
  3. 2004–2007UNSW Sydney
  4. 1993–1994University of OxfordPostdoctoral fellow

Education

  1. 1994Weizmann Institute of SciencePhD

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Oxford. 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.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Oxford. 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. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes University of Oxford. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes University of Oxford. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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

  1. CS 7790 Fall 2013 cs.cornell.edu. Checked 21 October 2026.
  2. Face recognition: The problem of compensating for changes in illumination direction weizmann.elsevierpure.com. Checked 21 October 2026.
  3. Tracking in a Dense Crowd Using Multiple Cameras | Sciweavers sciweavers.org. Checked 21 October 2026.
  4. ICCV 2013 Open Access Repository openaccess.thecvf.com. Checked 21 October 2026.
  5. Talking with Women Scientists - Women Forum Faculty of Mathematics & Computer Science weizmann.ac.il. Checked 21 October 2026.
  6. Expressive 2025 expressive.graphics. Checked 21 October 2026.
  7. ICCV 2025 Organizing Committee iccv.thecvf.com. Checked 21 October 2026.
  8. Diamonds in the Sky: Pareidolic Animals in Clouds arxiv.org. Checked 21 October 2026.