Hello! I am an Applied Scientist at Flawless AI working on cutting-edge generative AI technology for filmmaking. Previously I was a Research Scientist in the XR Tech team at Meta Reality Labs working on AI algorithms for different immersive AR/VR/MR applications. I 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 (generative AI), Computer Graphics (3D humans/perception) and Deep Learning, focusing on high-resolution video synthesis and photorealistic 3D human modeling. 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 Research and Intel Labs.

Work Experience
Applied Scientist (Oct 2023 - present)

Flawless AI (Santa Monica, CA)

3D face neural rendering for visual dubbing and multilingual audio-driven photorealistic 3D facial animation

Research Scientist (July 2021 - Aug 2023)

XR Tech team, Meta Reality Labs (Redmond, WA)

[Gen AI] Image-to-video synthesis using 3D-VQGAN and masked generative transformer

[Gen AI] Depth-guided Text-to-video synthesis

[3D Humans] Text/speech driven 3D human animation prediction for embodied AI

[3D Faces] Multimodal (audio-visual) detailed 4D face geometry reconstruction

[3D Faces] Speech-driven real-time 3D facial animation with emotions and non-speech vocalizations

[3D Faces] Video-based dynamic 3D face texture completion to handle occlusions

[3D Faces] StyleGAN-based improved face texture recovery

Research Intern (Summer 2020)

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

Photorealistic editable texture map synthesis for 3D humans for virtual try-on applications

Researcher (part-time) (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 for Android phone users! [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 frame interpolation/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

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


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

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