José Lezama
Also known as Jose Lezama
José Lezama is a computer-vision researcher whose work spans image representation learning and video generation. He earned a BSc from Universidad de la República and MSc and PhD degrees at École Normale Supérieure Paris-Saclay, and coauthored papers on video segmentation and cross-spectrum face recognition. His research includes Jacobian supervision, Token-Critic and MAGVIT; VideoPoet won ICML's 2024 Best Paper Award. As of October 2026, he is a Staff Research Scientist at Google DeepMind.
- Now at
- Google DeepMind
Timeline
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2011
Degrees and video segmentation
His education includes a BSc from Universidad de la República and MSc and PhD degrees from École Normale Supérieure Paris-Saclay, with Jean-Michel Morel and Gregory Randall as advisors. In 2011, he coauthors “Track to the Future,” a CVPR paper on spatiotemporal video segmentation with long-range motion cues.
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2016
Cross-spectrum face recognition
In 2016, he coauthors “Not Afraid of the Dark,” a near-infrared and visible-light face-recognition paper with Qiang Qiu and Guillermo Sapiro. It combines cross-spectral hallucination with low-rank embedding.
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2019
Jacobian supervision for images
In 2019, he introduces Jacobian supervision, which grows a latent code while constraining how image output changes with disentangled variables.
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Before 2021
Assistant professor in Uruguay
Before 2021, he works as an Assistant Professor at Universidad de la República in Uruguay.
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2022
Token-Critic guides sampling
In 2022, he coauthors Token-Critic, an auxiliary model that guides non-autoregressive transformer sampling by selecting which image tokens to accept or reject and resample.
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2023
MAGVIT and discrete diffusion
In 2023, he coauthors MAGVIT, a masked generative video transformer for multi-task video generation. He also coauthors a predictor-corrector method for discrete diffusion that improves class-conditional image generation on ImageNet.
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2024
VideoPoet and W.A.L.T. models
In 2024, he coauthors VideoPoet, a multimodal language model for zero-shot video generation, and W.A.L.T., a diffusion transformer for photorealistic video generation. ICML gives VideoPoet its Best Paper Award. He is a Senior Research Scientist at Google DeepMind.
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As of October 2026
Google DeepMind research
As of October 2026, he is a Staff Research Scientist at Google DeepMind, working on VideoPoet, W.A.L.T., Veo 2 and Veo 3.
Career
- Since 2024Google DeepMindSenior Research Scientist
- University of the RepublicAssistant Professor
Education
Sources and credits
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- José Lezama - Staff Research Scientist
- Track to the Future : Spatio-temporal Video Segmentation
- Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding
- Overcoming the Disentanglement vs Reconstruction Trade-Off via Jacobian Supervision
- Plenary Talks – IBERAMIA’2024
- Improved Masked Image Generation with Token-Critic
- MAGVIT: Masked Generative Video Transformer
- Predictor-Corrector Sampling for Discrete Diffusion Models
- VideoPoet: A Large Language Model for Zero-Shot Video Generation
- Photorealistic Video Generation with Diffusion Models
- ICML 2024 Awards




