About

Hello! I am an incoming Research Scientist in the AI on Device team at Facebook Reality Labs (starting July 2021). I recently completed my Ph.D. in Computer Science and Engineering from University of Washington under the guidance of Prof. Linda Shapiro (GRAIL) and Dr. Alex Colburn (Apple). Previously, I completed my Masters in Electrical Engineering from Indian Institute of Technology Bombay under the guidance of Prof. Subhasis Chaudhuri and received my Bachelors in Electronics and Telecommunication Engineering from Jadavpur University under the guidance of Prof. Iti Saha Misra.

My research interests are in the fields of computer vision, machine learning, computer graphics and computational photography. I am interested in photorealistic 3D human modeling for immersive AR/VR storytelling and virtual communication. My PhD thesis was on human facial expression modeling using deep learning frameworks and real-time facial motion retargeting from 2D images to 3D characters. During my PhD, I also got the opportunity to work on a variety of exciting projects as a research intern at Microsoft Research, Facebook Reality Labs and Intel Labs.

Work Experience
Research Scientist (July 2021 - present)

AI on Device team, Facebook Reality Labs (Redmond, WA)

Computational Photography and Image Processing for AR

Research Intern (Summer 2020)

Virtual Humans team, Facebook Reality Labs (Sausalito, CA)

Photorealistic texture synthesis for 3D humans

Research Contractor (Jan 2019 - May 2020)

AI Perception and Mixed Reality Platform team, Microsoft Cloud & AI (Redmond, WA)

Personalized face modeling for high-fidelity 3D reconstruction and improved 3D tracking and retargeting from 2D images.

Research Intern (Summer 2018)

Visual Intelligence group, Microsoft Research (Redmond, WA)

Real-time multi-task deep learning framework to transfer performance of human face(s) from 2D images to 3D animated characters

Integrated in Puppets feature of Swiftkey! [Media report]

Graduate Intern Technical (Summer 2017)

Computational Imaging Lab, Intel Labs (Santa Clara, CA)

Deep optical flow prediction and image super-resolution for efficient view synthesis from high-definition multi-camera array images.

US patent granted!

Visiting Researcher (Summer 2015)

Department of Information Engineering and Computer Science, University of Trento (Trento, Italy)

Novel unsupervised and semi-supervised approaches to content-based retrieval of remote sensing images using an inexact graph matching strategy.

Teaching Assistant (September 2014 - Present)

University of Washington and IIT Bombay

Courses taught: Computer Vision, Artificial Intelligence, Algorithms, Compilers, Digital Signal Processing, Digital Communications

Publications
Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans

     

Bindita Chaudhuri, Nikolaos Sarafianos, Linda Shapiro, Tony Tung

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting

     

Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang

IEEE European Conference on Computer Vision (ECCV), 2020 Spotlight!

Joint Face Detection and Facial Motion Retargeting for Multiple Faces

     

Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

GestureCalc: An Eyes-Free Calculator for Touch Screens

        

Bindita Chaudhuri*, Leah Perlmutter*, Justin Petelka, Philip Garrison, James Fogarty, Jacob Wobbrock, Richard Ladner (* equal contribution)

ACM SIGACCESS Conference on Computers & Accessibility (ASSETS), 2019

View Interpolation of Multi-Camera Array Images with Flow Estimation and Image Super Resolution using Deep Learning

Bindita Chaudhuri, Fan Zhang, Oscar Nestares

US Patent 10,547,823, 2020

Learning to Generate 3D Stylized Character Expressions from Humans

         New!

Deepali Aneja, Bindita Chaudhuri, Alex Colburn, Gary Faigin, Linda Shapiro and Barbara Mones

IEEE Winter Conference on Applications of Computer Vision (WACV), 2018

People's Choice Award! [Allen School News] [Geekwire article]

Multi-label Remote Sensing Image Retrieval using a Semi-Supervised Graph-Theoretic Method

     

Bindita Chaudhuri, Begüm Demir, Lorenzo Bruzzone and Subhasis Chaudhuri

IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 56, no. 2, pp. 1144-1158, Feb 2018

Region-Based Retrieval of Remote Sensing Images using an Unsupervised Graph-Theoretic Approach

  

Bindita Chaudhuri, Begüm Demir, Lorenzo Bruzzone and Subhasis Chaudhuri

IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 13, no. 7, pp. 987-991, July 2016

Projects
Local Collision Avoidance using Laser Sensors for a Nano-Drone

Bindita Chaudhuri, Chung-Yi Weng, Melanie Anderson
Robotics (UW CSE 571) Project, 2019

Stabilization and Real-time Object Tracking in Videos

Bindita Chaudhuri, Heena Gupta, Sania Qamar
Computer Vision (IITB CS 763) Project, 2015

Contact Me

Address

CSE 482, Paul G. Allen Center
185 Stevens Way, Seattle, WA 98195

Email

bindita@cs.washington.edu