Education

University of Washington
Ph.D., Computer Science and Engineering
2020
Committee: Luis Ceze, Mark Oskin
, Magda Balazinska
,

University of Washington
Masters of Science, Computer Science and Engineering
2017

Columbia University
Bachelor of Science, Computer Engineering
2010–2014

GRACE: Loss-Resilient Real-Time Video through Neural Codecs.
Yihua Cheng, Ziyi Zhang, Hanchen Li, Anton Arapin, Yue Zhang, Qizheng Zhang, Yuhan Liu, Xu Zhang, Francis Y. Yan, Amrita Mazumdar, Nick Feamster, Junchen Jiang.
In NSDI, 2024.
We present a loss-resilient real-time video system called GRACE, which preserves the user's quality of experience (QoE) across a wide range of packet losses through an autoencoder-based neural video codec.

Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection.
Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Shalini De Mello, Jan Kautz, Iuri Frosio.
In arXiV, 2023.
We present a learning-based system to hallucinate HDR content in overexposed video sequences, without resorting to complex acquisition mechanisms like alternating exposures or costly processing typical of HDR imaging.

AI-Mediated 3D Video Conferencing.
Michael Stengel, Koki Nagano, Chao Liu, Matthew Chan, Alex Trevithick, Shalini De Mello, Jonghyun Kim, David Luebke, Amrita Mazumdar, Shengze Wang, Mayoore Jaiswal.
In SIGGRAPH Emerging Technologies, 2023.
We present an AI-mediated 3D video conferencing system that can reconstruct and autostereoscopically display a life-sized talking head using consumer-grade compute resources and minimal capture equipment.

VSS: A Storage System for Video Analytics.
Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magda Balazinska, Alvin Cheung, Luis Ceze.
In SIGMOD, 2021.
A video storage system for video data management that enables fine-grained access to video content, caching, and redundancy elimination for overlapping field-of-view.

TASM: A Tile-Based Storage Manager for Video Analytics.
Maureen Daum, Brandon Haynes, Dong He, Amrita Mazumdar, Magda Balazinska, Alvin Cheung.
In IEEE International Conference on Data Engineering, 2021.
A tile-based storage manager enabling spatial random access to encoded videos for analytics workloads.

VisualWorldDB: A DBMS for the Visual World.
Brandon Haynes, Maureen Daum, Amrita Mazumdar, Magda Balazinska, Luis Ceze, Alvin Cheung.
In Conference on Innovative Data Systems Research (CIDR), 2020.
paper (pdf), bibtex

A vision and initial architecture for a new type of database system optimized for large-scale multicamera applications.

Vignette: Perceptual Compression for Video Storage and Processing Systems.
Amrita Mazumdar, Brandon Haynes, Magda Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin.
In ACM Symposium on Cloud Computing (SoCC), 2019.
paper (pdf), slides (pdf), more recent slides (pdf), bibtex, SoCC Best Poster Award Winner

A system that integrates machine learning-improved compression with cloud video storage and distribution, compatible with modern codecs and hardware accelerators.

Visual Road: A Video Data Management Benchmark.
Brandon Haynes, Amrita Mazumdar, Magda Balazinska, Luis Ceze, Alvin Cheung.
In SIGMOD, 2019.
paper (pdf), bibtex

A scalable analytics benchmark suite and video generator for video databases.

LightDB: A DBMS for Virtual Reality.
Brandon Haynes, Amrita Mazumdar, Armin Alaghi, Magda Balazinska, Luis Ceze, Alvin Cheung.
In Proceedings of the VLDB Endowment (PVLDB) 11(10), 2018.
paper (pdf), bibtex, code (github)

A database management system designed for multi-dimensional video, like 360-degree and light field videos.

Application Codesign of Near-Data Processing for Similarity Search.
Vincent T. Lee, Amrita Mazumdar, Carlo C. Del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin.
In IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2018.
paper (pdf), bibtex

A k-nearest neighbors hardware accelerator using processing-in-memory, for content-based image retrieval.

A Hardware-Friendly Bilateral Solver for Real-Time Virtual Reality Video.
Amrita Mazumdar, Armin Alaghi, Jonathan T. Barron, David Gallup, Luis Ceze, Mark Oskin, Steven M. Seitz.
In High Performance Graphics (HPG), 2017.
paper (pdf), slides (pdf), bibtex, code (github), blog post

A hardware-software codesign approach to accelerate a 16-camera VR video pipeline for real-time performance.

Exploring Computation-Communication Tradeoffs in Camera Systems.
Amrita Mazumdar, Armin Alaghi, Thierry Moreau, Sung Min Kim, Meghan Cowan, Luis Ceze, Mark Oskin, Visvesh Sathe.
In IEEE International Symposium on Workload Characterization (IISWC), 2017.
paper (pdf), slides (pdf), bibtex

A data movement characterization for resource-constrained vision and VR camera hardware.

Principles and Techniques of Schlieren Imaging Systems.
Amrita Mazumdar.
In Columbia University Computer Science Technical Reports, 2013. , bibtex
A survey paper on modern Schlieren optics systems.

Work Experience

Research Intern, Facebook Reality Lab
2018

Research Intern, Oculus Research
2017

ASIC Design Intern, IBM Microelectronics
2012

Honors

UW CoMotion Innovation Gap Fund Winner (2019)

SoCC Best Poster Award (for poster accompanying SoCC'19 paper) (2019)

NCWIT Collegiate Award Finalist (2018)

Madrona Ventures Research Prize Runner-Up (2017)

Google Anita Borg Memorial Fellowship (2014)

CRA-W Distributed Research Experience for Undergraduates (DREU) Fellowship (2013)

University of Rochester Frederick Douglass and Susan B. Anthony Award (2010)

Students

Lucas Cendes
B.S., University of Washington, 2018–2019

Zackery Calipes
B.S., University of Washington, 2018–2019

Beck Pang
B.S., University of Washington, 2015–2016

Yufang Sun
B.S., University of Washington, 2014

Teaching

Teaching Assistant, University of Washington

  • CSE 351, Winter 2017 (Hardware-Software Interface), with Luis Ceze
  • CSE 548, Winter 2016 (Graduate Computer Architecture), with Mark Oskin

Tutor, University of Washington

  • CSE 351 (The Hardware/Software Interface)
  • CSE 341 (Programming Languages)

Teaching Assistant, Columbia University

Service & Outreach

Review Committees

IISWC 2022, Program committee member

ASPLOS Shadow PC 2018: Program committee member

Grace Hopper SOL 2016: Program committee member

External Reviews

MICRO 2022

IEEE Micro 2017

Department Service

University of Washington, Computer Science and Engineering

  • Graduate Admissions Committee, 2017–2019
  • Prospective Student Committee Co-Chair, 2016; Member, 2015–2018
  • TGIF Committee Co-Chair, 2016
  • New Graduate Student Mentor, 2015–2016

ACM SIGARCH Social Media Editor (2017–2018)

Columbia University, Computer Science & Computer Engineering

  • Vice President, Women in Computer Science, 2013–2014
  • Mentor, 2012-2014

Outreach

Women in Computer Architecture (WICARCH), Director (2022)

Chair, UW CSE Women’s Research Day (2017, 2018, 2019)

Committee, UW CSE Women’s Research Day (2015, 2016)

Mentor, ICRA (2015), Go, Girl Go! Forum

Mentor, Stars Challenge (2014), Code Secrets

Instructor, Iridescent Learning (2012), Technovation Challenge NYC