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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Responsible AI

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Responsible AI
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Conferences & events

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Careers
Blog

Kevis-Kokitsi Maninis

Kevis-Kokitsi Maninis

Research Areas

Machine Perception

Authored Publications

Google

OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects

Abhijit Kundu

Akshay Krishnan

James Hays

Kevis-Kokitsi Maninis

Matthew Brown

2024

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations

Varun Jampani

Kevis-Kokitsi Maninis

Andreas Engelhardt

Arjun Karpur

Karen Truong

Kyle Sargent

Stefan Popov

Andre Araujo

Ricardo Martin-Brualla

Kaushal Patel

Daniel Vlasic

Vittorio Ferrari

Ameesh Makadia

Ce Liu

Yuanzhen Li

Howard Zhou

Neural Information Processing Systems (NeurIPS) (2023)

Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos

Kevis-Kokitsi Maninis

Stefan Georgiev Popov

Matthias Niessner

Vittorio Ferrari

Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2022)

RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers

Michal Tyszkiewicz

Kevis-Kokitsi Maninis

Stefan Georgiev Popov

Vittorio Ferrari

ECCV 2022

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