Rishabh Kabra

Rishabh Kabra

Research Engineer and PhD Student

Google DeepMind

Smart Geometry @ UCL

Biography

I’m a Research Engineer at Google DeepMind where I’ve been since 2017. I’m interested in representation learning, scene understanding, and generative models.

Interests
  • Unsupervised Learning
  • Computer Vision
  • Generative Models
Education

  • PhD in Artificial Intelligence, 2023-present

    University College London

  • MSc in Applied Statistics, 2015

    University of Oxford

  • BS in Computer Science (Minor in Mathematics), 2014

    Massachusetts Institute of Technology

Recent Posts

NeurIPS 2023 Recap
A recap from NeurIPS 2023 covering topics like VLMs, scene understanding, object-centric representations, and generative models.
Rishabh Kabra
Dec 18, 2023 12 min read Conferences
ICML 2023 Recap
A recap from ICML 2023 comprising 50 posters organized by topic, e.g., vision, generative models.
Rishabh Kabra
Jul 31, 2023 3 min read Conferences

Recent Publications

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Andrea Karlova, Rishabh Kabra, Daniel Augusto de Souza, Brooks Paige (2026). COBALT: Censored Optimization and Bayesian Active Learning Techniques. UAI 2026.

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Letian Wang, Chuhan Zhang, Rishabh Kabra, Jasper Uijlings, Steven Waslander, Andrew Zisserman, Joao Carreira, Kaiming He, Misha Andriluka, Eduard Gabriel Bazavan, Andrei Zanfir, Cristian Sminchisescu (2026). Video Generation Models are General-Purpose Vision Learners. ECCV 2026.

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Rishabh Kabra, Maks Ovsjanikov, Drew A Hudson, Ye Xia, Skanda Koppula, Andre Araujo, Joao Carreira, Niloy J Mitra (2026). A Mixed Diet Makes DINO An Omnivorous Vision Encoder. arXiv.

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Rishabh Kabra, Drew A Hudson, Sjoerd van Steenkiste, Joao Carreira, Niloy J Mitra (2026). How to Spin an Object: First, Get the Shape Right. CVPRW 2026.

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Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, Joao Carreira, Priyadarshini Panda (2025). OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts. arXiv.

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Contact

Please reach out if you’re interested in any of my work.