Marcus Brubaker

@marcusabrubaker

Research Scientist @GoogleDeepMind Assoc Prof (on leave) @YorkUniversity Affil @VectorInst Cofounder @StructuraBio Formerly @SamsungResearch @BorealisAI He/Him

Toronto, Ontario

mbrubake.github.io

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Marcus Brubaker
@marcusabrubaker
Jan 28
Checkout some really cool work by @Dazitu_616 with me and the @GoogleDeepMind team in Toronto. Turn perspective images and video into immersive 360s!
Ziyi Wu
@Dazitu_616
Jan 28
📢Introducing 360Anything, our method for lifting any perspective image or video to gravity-aligned 360° panoramas without using any camera or 3D information. This enables consistent novel view synthesis and 3D scene reconstruction. Project page: 360anything.github.io 🧵
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Marcus Brubaker
@marcusabrubaker
Jan 8
There's still time to apply to join us at GDM in Toronto as a Student Researcher! We are reviewing applications now though, so apply soon to be considered.
Saurabh Saxena
@srbhsxn
Dec 12, 2025
Our team at Google DeepMind in Toronto is hiring student researchers for 2026 to work on cutting-edge vision research, focusing on both generative models and scene understanding. Come work with us! Apply at: forms.gle/qTEbEfwwQnModV…
Marcus Brubaker
@marcusabrubaker
Mar 12, 2025
Calling all PhD students in vision/ML interested in working with a great team (+me!) at GDM doing cutting edge research in 3D computer vision and generative models!
Saurabh Saxena
@srbhsxn
Mar 5, 2025
Our team in Google DeepMind Toronto is hiring a Student Researcher for Summer 2025 to work on projects in Video generative models and 3D Computer Vision. If you are interested please apply at: forms.gle/Yj1jmbvjBFQCzC…
Marcus Brubaker
@marcusabrubaker
Dec 15, 2024
Congratulations to @s_shekarforoush for a great job presenting our work at the poster on Friday and in the talk at the MLSB workshop today!
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Marcus Brubaker
@marcusabrubaker
Dec 3, 2024
Ever tried to run COLMAP or other SfM pipeline only to have it fail due to movement in the video? Check out our new work exploring how detect and mask dynamic objects!
Andrea Tagliasacchi
@taiyasaki
Dec 2, 2024
📢📢📢 RoMo: Robust Motion Segmentation Improves Structure from Motion romosfm.github.io arxiv.org/pdf/2411.18650 TL;DR: boost your SfM pipeline on dynamic scenes. We use epipolar cues + SAMv2 features to find robust masks for moving objects in a zero-shot manner. 🧵👇
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