PeopleofSuperintelligence

Researcher

Ilija Radosavovic

Ilija Radosavovic is a computer-vision and robotics researcher whose work spans object detection, network design and robot learning. As a first-year student at Imperial College London, he programmed a StarFox-inspired Raspberry Pi game and later worked on video recognition in a Computing MEng project. He coauthored data distillation and RegNet, contributed to Detectron, and received the 2021 PAMI Mark Everingham Award. In February 2025, he is a PhD student in EECS at UC Berkeley, advised by Jitendra Malik; his 2025 dissertation is titled Robotics as Sensorimotor Sequence Modeling.

Timeline

  1. 2014

    PiFox on Raspberry Pi

    In 2014, he joins three fellow first-year undergraduates at Imperial College London to build PiFox, a 3D StarFox homage for Raspberry Pi written in ARM assembly.

  2. 2016–2017

    A Computing MEng project

    In 2016–2017, his Computing MEng 4 project at Imperial College London explores semi-supervised instance recognition from video under Professor Daniel Rueckert.

  3. 2018

    Data distillation and Detectron

    In 2018, he coauthors the CVPR paper Data Distillation: Towards Omni-Supervised Learning, which combines predictions from transformed unlabeled data to generate training annotations. He also coauthors Detectron, Facebook AI Research's software system for object-detection research.

  4. 2020

    Designing RegNet

    In 2020, he and four coauthors introduce RegNet, a network design space that represents populations of neural architectures. Their paper finds that the widths and depths of good networks can be explained by a quantized linear function.

  5. 2021

    The PAMI Mark Everingham Award

    In 2021, he receives the PAMI Mark Everingham Award.

  6. 2022–2024

    Robot learning for humanoids

    In 2022, he coauthors a method that pretrains visual representations on diverse, in-the-wild videos for real-world robotic tasks. In 2024, a transformer-based humanoid controller by him and his coauthors predicts actions from observation histories and walks over rough, deformable and sloped terrain.

  7. 2025

    A Berkeley PhD student

    In February 2025, he is a PhD student in EECS at UC Berkeley, advised by Jitendra Malik. His 2025 dissertation is titled Robotics as Sensorimotor Sequence Modeling.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

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 Ilija Radosavovic yet. Send us a free-licensed photo.

  1. 1st Year Raspberry Pi projects featured on hackaday.com and raspberrypi.org | Imperial News | Imperial College London imperial.ac.uk. Checked 19 October 2026.
  2. Undergraduate archive | Faculty of Engineering | Imperial College London imperial.ac.uk. Checked 19 October 2026.
  3. CVPR 2018 Open Access Repository openaccess.thecvf.com. Checked 19 October 2026.
  4. GitHub - facebookresearch/Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN github.com. Checked 19 October 2026.
  5. CVPR 2020 Open Access Repository openaccess.thecvf.com. Checked 19 October 2026.
  6. 2025 February 3rd - Frontiers - Electrical Engineering ee.caltech.edu. Checked 19 October 2026.
  7. [2210.03109] Real-World Robot Learning with Masked Visual Pre-training arxiv.org. Checked 19 October 2026.
  8. [2410.03654] Learning Humanoid Locomotion over Challenging Terrain arxiv.org. Checked 19 October 2026.
  9. Jitendra Malik's Home Page people.eecs.berkeley.edu. Checked 19 October 2026.