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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

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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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

Junjie Ke

Junjie Ke

Research Areas

Machine Perception

Authored Publications

Google

Rich Human Feedback for Text to Image Generation

Katherine Collins

Nicholas Carolan

Yang Li

Junjie Ke

Youwei Liang

Peizhao Li

Jordi Pont-Tuset

Vidhya Navalpakkam

Feng Yang

Dj Dvijotham

Deepak Ramachandran

Junfeng He

Gang Li

Sarah Young

Yiwen Luo

Jiao Sun

Kai Kohlhoff

Arseniy Klimovskiy

2024

MUSIQ: Multi-scale Image Quality Transformer

Feng Yang

Junjie Ke

Peyman Milanfar

Qifei Wang

Yilin Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2021)

Multi-path Neural Networks for On-device Multi-domain Visual Classification

Alec Michael Go

Andrew Howard

Feng Yang

Gabriel M. Bender

Grace Chu

Jeff Gilbert

Joshua Greaves

Junjie Ke

Luciano Sbaiz

Peyman Milanfar

Qifei Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2021), pp. 3019-3028

Adversarially Adaptive Normalization for Single Domain Generalization

Boqing Gong

Feng Yang

Junjie Ke

Mingyuan Zhou

Qifei Wang

Xinjie Fan

CVPR (2021)

Rich features for perceptual quality assessment of UGC videos

Yilin Wang

Junjie Ke

Hossein Talebi

Joong Yim

Neil Aylon Charles Birkbeck

Balu Adsumilli

Peyman Milanfar

Feng Yang

CVPR 2021

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