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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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People

Our researchers drive advancements in computer science through both fundamental and applied research.
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Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

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Machine Intelligence

Machine Perception

Machine Translation

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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

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Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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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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Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Blog

Avneesh Sud

Avneesh Sud

Research Areas

Machine Perception

Authored Publications

Google

MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision

Andrea Tagliasacchi

Avneesh Sud

Ben Usman

Kate Saenko

(2022)

Local Deep Implicit Functions for 3D Shape

Kyle Genova

Forrester H Cole

Avneesh Sud

Aaron Sarna

Thomas Funkhouser

CVPR (2020)

Likelihood-Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Domain Adaptation

Avneesh Sud

Ben Usman

Kate Saenko

Nick Dufour

NeurIPS 2020 (2020)

Cross-Domain 3D Equivariant Image Embeddings

Carlos Esteves

Avneesh Sud

Zhengyi Luo

Kostas Daniilidis

Ameesh Makadia

Proceedings of the 36th International Conference on Machine Learning, 2019, PMLR

Eyemotion: Classifying facial expressions in VR using eye-tracking cameras

Steven Hickson

Nick Dufour

Avneesh Sud

Vivek Kwatra

Irfan Essa

arXiv, https://arxiv.org/abs/1707.07204 (2017)

Headset Removal for Virtual and Mixed Reality

Christian Frueh

Avneesh Sud

Vivek Kwatra

SIGGRAPH Talks 2017, ACM SIGGRAPH (to appear)

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