Spatial AI Lab – Zurich: Research and Publications

Spatial AI Lab – Zurich

This document outlines the research activities and publications of the Spatial AI Lab at Microsoft Research in Zurich. The lab focuses on advancing the fields of spatial computing, computer vision, and artificial intelligence, with a particular emphasis on their intersection with robotics and mixed reality.

Key Research Areas:

Computer Vision: Developing algorithms for understanding and interacting with the physical world through visual data. This includes areas like camera localization, 3D reconstruction, and object recognition.
Spatial Computing: Exploring how to create immersive and interactive experiences by bridging the digital and physical worlds, often leveraging mixed reality technologies.
Robotics: Integrating AI and computer vision techniques to enhance the capabilities of robots, enabling them to perceive, navigate, and interact with their environment more effectively.
Mixed Reality: Advancing the technologies and applications of mixed reality, focusing on intuitive interaction and seamless integration with spatial computing paradigms.

Featured Publications and Research:

The lab has a strong publication record in top-tier conferences and journals, showcasing their contributions to the field. Some notable publications include:

Learning to Detect Scene Landmarks for Camera Localization: This work focuses on improving camera localization accuracy by learning to detect and utilize scene landmarks.
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo: Presents an iterative approach to multi-view stereo reconstruction, aiming for greater efficiency and accuracy.
Privacy Preserving Partial Localization: Addresses the challenge of localization while maintaining user privacy.
Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together: A broader overview of the lab's vision for integrating spatial computing, mixed reality, and robotics.
Spatio-Temporal Human Shape Completion With Implicit Function Networks: Explores the use of implicit function networks for reconstructing human shapes over time.
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition: Focuses on recognizing human interactions involving object manipulation from a first-person perspective.
Pixel-Perfect Structure-From-Motion With Featuremetric Refinement: Introduces a method for refining Structure-from-Motion (SfM) results for pixel-perfect accuracy.
Cross-Descriptor Visual Localization and Mapping: Investigates visual localization and mapping using multiple types of visual descriptors.
MBA-VO: Motion Blur Aware Visual Odometry: Develops visual odometry techniques that are robust to motion blur.
Towards Efficient Graph Convolutional Networks for Point Cloud Handling: Explores the efficiency of graph convolutional networks for processing point cloud data.

Leadership and Team:

The lab is led by Marc Pollefeys, a Partner Director of Science, who has made significant contributions to computer vision and related fields. The team comprises researchers specializing in various aspects of AI, computer vision, and robotics.

Location and Contact:

The Spatial AI Lab is located in Zurich, Switzerland. Contact information and links to social media channels (X, Facebook, LinkedIn, YouTube, Instagram) are provided for further engagement.

Further Resources:

The page also includes links to:

Lab overview, people, publications, news, collaborations, events, and videos.
Microsoft's broader research areas, programs, and events.
Microsoft products and services across various categories (Global, Tech & Innovation, Industries, Partners, Resources).
Tools for privacy choices and consumer health privacy.

Search and Filtering:

Users can search within results and refine them by research areas (e.g., Computer vision, Artificial intelligence), people, publication types (Inproceedings, Article), and published date ranges.

Image:

A background image is included, likely related to the lab's visual research. The page also features an "Opt-Out Icon" related to privacy choices.

This summary provides a comprehensive overview of the Spatial AI Lab in Zurich, highlighting its research focus, key publications, leadership, and resources.