PeopleofSuperintelligence

Researcher

Pierre Sermanet

Pierre Sermanet works in computer vision and robotics, from convolutional networks to self-supervised learning from video. He completed a PhD with Yann LeCun at New York University, and in 2013 his OverFeat framework won the localization task of the ImageNet challenge. In May 2017 he gave a seminar as a Google Brain researcher, and he co-authored Time-Contrastive Networks. The 2025 Longuet-Higgins Prize went to Going Deeper with Convolutions, a CVPR 2015 paper he co-authored. UMA came out of stealth in December 2025, and he is its chief science officer.

Now at
UMA
Works
81
Citations
55,152
h-index
32

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2004

    Vision for a Eurobot robot

    He writes the vision and control stack for a custom robot at the Eurobot competition in 2004.

  2. 2013

    A PhD and an ImageNet win

    He completes a PhD with Yann LeCun at New York University. The OverFeat framework wins the localization task of the 2013 ImageNet challenge.

  3. May 2017

    Time-Contrastive Networks

    In May 2017 he gives a seminar as a Google Brain researcher. He co-authors Time-Contrastive Networks, a paper on self-supervised learning from video.

  4. 2025

    The Longuet-Higgins Prize

    In 2025 the Longuet-Higgins Prize goes to Going Deeper with Convolutions, a CVPR 2015 paper he co-authors.

  5. December 2025

    UMA leaves stealth

    UMA comes out of stealth in December 2025 with Pierre Sermanet on its leadership team.

  6. As of October 2026

    Chief science officer at UMA

    He is chief science officer at UMA and one of its founders. The company emerged from stealth in December 2025.

Sources and credits

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

  1. Pierre Sermanet sermanet.github.io. Checked 15 October 2026.
  2. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks arxiv.org. Checked 15 October 2026.
  3. Pierre Sermanet May 2017 - Redwood Center for Theoretical Neuroscience redwood.berkeley.edu. Checked 15 October 2026.
  4. Time-Contrastive Networks: Self-Supervised Learning from Video arxiv.org. Checked 15 October 2026.
  5. IEEE Computer Society Celebrates 2025 Technical Community on Pattern Analysis and Machine Intelligence (TCPAMI) Awardees cvpr.thecvf.com. Checked 15 October 2026.
  6. Going Deeper with Convolutions research.google. Checked 15 October 2026.
  7. Ex-Tesla Optimus scientist launches UMA to build Europe’s humanoid robot thenextweb.com. Checked 15 October 2026.
  8. UMA Unveils Northstar Humanoid Robot, Targets Europe First | AI Weekly aiweekly.co. Checked 15 October 2026.
  9. UMA is pushing Europe towards the next era of autonomous machines / AI World aiworld.eu. Checked 15 October 2026.