Events
- Said Gürbüz (ETH Zurich) on controllable desktop environments for computer use agents, and Lorenzo Steno (Seldon Technologies) on building RL environments for computer use.
- Haithem Turki from NVIDIA on photorealistic world models and Omar Sanseviero from Google DeepMind on the open Gemma model family.



- Francis Engelmann from USI on superquadric representations for world models and Korrawe Karunratanakul from Flexion on versatile character control.



- Zan Gojcic from NVIDIA on generative reconstruction and Vanessa Sklyarova from ETH Zurich on hairstyle modelling for avatars.



- Paul-Edouard Sarlin from Google on 3D reconstruction for localization and Nando Metzger from ETH Zurich on high-resolution maps.



- Felix Wimbauer from the Technical University of Munich and Google on understanding the 3D world from videos, and Joan Puigcerver from Google DeepMind on scaling computer vision architectures.



- Ivan Vulić from the University of Cambridge and Google DeepMind on vision-language models for spatial reasoning and Tiago Pimentel from ETH Zurich on generalisation in language models.



- Linus Scheibenreif from ETH Zurich on self-supervised learning for satellite imagery and Pascal Chang from ETH Zurich and Disney Research on visual anagram generation.



- Xi Wang on egocentric learning and Nikolai Kalischek on diffusion-based panorama generation.



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