PeopleofSuperintelligence

Researcher

Or Litany

Or Litany is a computer vision researcher who works on 3D data and generative models at NVIDIA Research and the Technion. After a PhD at Tel Aviv University under Alex Bronstein, he coauthored the VoteNet 3D detection paper in 2019 and, during a Stanford postdoc, co-wrote the ICML 2020 Outstanding Paper On Learning Sets of Symmetric Elements. He joined the Technion's Taub Faculty of Computer Science in 2023, and in 2026 his group presented Time to Move, a way to steer motion in AI-generated video with mouse movements. He is a Senior Research Scientist at NVIDIA Research, an Assistant Professor at the Technion and an ELLIS Scholar.

Now at
Technion and NVIDIA
Works
113
Citations
6,756
h-index
33
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2017

    Deep Functional Maps

    He holds a PhD from Tel Aviv University, advised by Alex Bronstein, and a BSc in physics and mathematics from the Hebrew University. In 2017, he is first author of Deep Functional Maps, a deep residual network that predicts functional maps for dense correspondence between deformable 3D shapes, accepted at ICCV 2017.

  2. 2019

    VoteNet for 3D detection

    In 2019, he coauthors Deep Hough Voting for 3D Object Detection in Point Clouds with Charles R. Qi, Kaiming He and Leonidas Guibas. The paper introduces VoteNet, an end-to-end 3D detection network built on deep point set networks and Hough voting, which reaches state-of-the-art results on ScanNet and SUN RGB-D and is an ICCV 2019 Best Paper nominee.

  3. 2020

    An ICML Outstanding Paper

    As a postdoctoral research fellow in Leonidas Guibas's Geometric Computation Group at Stanford, he coauthors On Learning Sets of Symmetric Elements with Haggai Maron, Gal Chechik and Ethan Fetaya. The paper wins one of the two ICML 2020 Outstanding Paper Awards.

  4. 2023

    Joining the Technion faculty

    In 2023, he joins the Taub Faculty of Computer Science at the Technion as a senior lecturer, after being selected as an Azrieli Faculty Fellow and a Taub Fellow. His research there deals with deep learning for computer vision, with an emphasis on 3D and geometry.

  5. July 2023

    Neural lidar fields at NVIDIA

    In July 2023, he co-writes an NVIDIA technical blog post with Zan Gojcic and Zian Wang on neural lidar fields, which synthesize realistic lidar scans from new viewpoints for autonomous-vehicle simulation. He is then a Senior Research Scientist in NVIDIA's Toronto AI Lab and an incoming Technion assistant professor, after postdoc posts at Stanford and Meta Research (FAIR).

  6. 2026

    Time to Move video control

    His Technion group presents Time to Move (TTM) at ICLR 2026, led with Ron Kimmel and students Assaf Singer, Noam Rotstein and Amir Mann. TTM steers motion in AI-generated video from mouse movements through dual-clock denoising, and it plugs into existing video models without retraining.

  7. May 2026

    CVPR Outstanding Area Chair

    In May 2026, he receives the Outstanding Area Chair award at CVPR 2026.

  8. As of October 2026

    NVIDIA and Technion roles

    He is a Senior Research Scientist at NVIDIA Research and an Assistant Professor at the Technion, specializing in 3D computer vision and generative AI. He is also an ELLIS Scholar affiliated with the Technion.

Career

  1. Since 2023TechnionSenior Lecturer; Assistant Professor
  2. Since 2023NVIDIASenior Research Scientist
  3. 2020–2021Stanford UniversityPostdoctoral Research Fellow
  4. 2018–2020MetaPostdoctoral researcher

Education

  1. Tel Aviv UniversityPhD
  2. Hebrew University of JerusalemBSc

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

Most-cited works

  1. Deep Hough Voting for 3D Object Detection in Point Clouds2019 · IEEE/CVF International Conference on Computer Vision (ICCV) · 1,241 citationsWith Kaiming He
  2. PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding2020 · Lecture notes in computer science · 652 citationsWith Saining Xie
  3. Neural Fields in Visual Computing and Beyond2022 · Computer Graphics Forum · 507 citationsWith Vincent Sitzmann
  4. Deep Functional Maps: Structured Prediction for Dense Shape Correspondence2017 · IEEE International Conference on Computer Vision (ICCV) · 300 citationsWith Alex Bronstein, Emanuele Rodolà and Michael Bronstein
  5. ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 295 citations

From OpenAlex, as of 21 October 2026.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Or Litany. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Or Litany. 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.
  3. 23% of people shaping AI who left a university for a company later returned to a universityIncludes Or Litany. We estimate that 468 of the 2,011 people shaping AI who left a university for a company (23%) later returned to a university after a median of 5 years, and 163 of 829 (20%) made the reverse round trip.
  4. Google has the highest combined h-index among AI organizationsIncludes NVIDIA. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

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 Or Litany yet. Send us a free-licensed photo.

  1. Or Litany – 3D Computer Vision & Generative AI Researcher at NVIDIA and Technion orlitany.github.io. Checked 20 October 2026.
  2. Deep Functional Maps: Structured Prediction for Dense Shape Correspondence arxiv.org. Checked 20 October 2026.
  3. Deep Hough Voting for 3D Object Detection in Point Clouds arxiv.org. Checked 20 October 2026.
  4. Stanford makes an impact at machine learning conference stanforddaily.com. Checked 20 October 2026.
  5. ICML 2020 Awards icml.cc. Checked 20 October 2026.
  6. Azrieli Scholarship to Dr. Or Litany cs.technion.ac.il. Checked 20 October 2026.
  7. Move a mouse, create a video: New technology from the Technion eurekalert.org. Checked 20 October 2026.
  8. Sensing New Frontiers with Neural Lidar Fields for Autonomous Vehicle Simulation developer.nvidia.com. Checked 20 October 2026.
  9. The Research of Dr. Or Litany and His Team was Presented at the Prestigious ICLR 2026 Conference cs.technion.ac.il. Checked 20 October 2026.
  10. Or Litany | European Laboratory for Learning and Intelligent Systems ellis.eu. Checked 20 October 2026.