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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

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Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

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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

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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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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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Blog

Daniel Glasner

Daniel Glasner

https://sites.google.com/site/dglasner

Research Areas

Authored Publications

Google

Rethinking FID: Towards a Better Evaluation Metric for Image Generation

Sadeep Jayasumana

Srikumar Ramalingam

Andreas Veit

Daniel Glasner

Ayan Chakrabarti

Sanjiv Kumar

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

MarkovGen: Structured Prediction for Efficient Text-to-Image Generation

Sadeep Jayasumana

Daniel Glasner

Srikumar Ramalingam

Andreas Veit

Ayan Chakrabarti

Sanjiv Kumar

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Understanding Robustness of Transformers for Image Classification

Srinadh Bhojanapalli

Ayan Chakrabarti

Daniel Glasner

Daliang Li

Thomas Unterthiner

Andreas Veit

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

Balancing Robustness and Sensitivity using Feature Contrastive Learning

Seungyeon Kim

Daniel Glasner

Srikumar Ramalingam

Cho-Jui Hsieh

Kishore Papineni

Sanjiv Kumar

(2021)

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