Arjun Jain

Founder & Chief Scientist @
FastCode AI

About Me

IamtheFounderandChiefScientistofFastCodeAIandholdaPh.D.inComputerSciencefromtheMax-PlanckInstituteforInformaticsinGermany.Myresearchintersectscomputergraphics,vision,andmachinelearning.IalsoserveasanAdjunctFacultymemberintheCDSdepartmentatIISc,whereIleadadeeplearningresearchgroup.Withanextensiveteachingandprofessionalbackground,IhavetaughtComputerVisionatIITBombayandworkedwithcompanieslikeYahoo!,WetaDigital,andApple.

Education

October 2008 – August 2009

Graduated from University of Saarland

June 2001 – July 2005

Bachelor of Engineering in Computer Science from R.V. College of Engineering, Bangalore, India.

Alumni

Rishabh Dabral

Rishabh Dabral

Rahul Mitra

Rahul Mitra

Nehal Doiphode

Nehal Doiphode

Uday Kasupati

Uday Kasupati

Shubham Goel

Shubham Goel

Saurabh Sharma

Saurabh Sharma

Anurag Mundahada

Anurag Mundahada

Nitesh Bharadwaj Gundavarapu

Nitesh Bharadwaj Gundavarapu

Naman Jain

Naman Jain

Rohit Jena

Rohit Jena

Sahil Shah

Sahil Shah

Pavan Teja

Pavan Teja

Divyansh

Divyansh

Jai Doshi

Jai Doshi

Profession

Sept 2015 – Present

Founder and CEO

Founder and CEO, Fast Code AI Consult Pvt. Ltd., Bangalore, India

Jan 2020 – Present

Adjunct Faculty

Adjunct Faculty @ CDS Dept., IISc
Deep Learning for Computer Vision (Spring 2020 & Spring 2021), with Prof. R. Venkatesh Babu

Dec 2016 – May 2019

Adjunct Assistant Professor

Adjunct Assistant Professor @ CSE Dept., IIT Bombay
Computer Vision (Spring 2018 & Spring 2019)
Deep Learning module for Computer Vision (Spring 2017)

July 2015 – Nov 2015

Senior Researcher

Senior Researcher at SPG, Apple, Cupertino

March 2013 – Feb 2015

Post-Doc

Post-doc at Courant Institute, NYU with Chris Bregler and Yann LeCun

Feb 2011 – May 2011

Research Intern

Research Intern at Weta Digital Wellington, New Zealand.
Feature film credits: The Adventures of Tintin(2011) – R & D Developer

Oct 2007 – Aug 2008

Research Assistant

Research Assistant at Media Integration and Communication Center (MICC), University of Florence, Florence, Italy

Sept 2006 – Sept 2007

Software Developer

Software Developer at Yahoo India R & D, Bangalore, India

Patents

Automotive
2021
Method and system for triggering an event in a vehicle

Embodiments of present disclosure relates to method for identifying a hand pose in a vehicle, and a system for performing an event in a vehicle. A hand image for a hand in the vehicle, is extracted from a vehicle image of the vehicle for identification. Plurality of contextual images of the hand image is obtained based on the single point. A hand pose associated with the hand is identified based on the plurality of contextual features using a classifier model.

Automotive
2021
System and method for deployment of airbag based on head pose estimation

Advanced airbag deployment control system designed for vehicular use incorporating an image sensor unit that captures real-time images of a vehicle occupant, focusing particularly on head localization. Utilizing a processing unit equipped with Long Short Term Memory (LSTM) neural network architecture, the system analyzes images to determine and predict the future position and orientation of the occupant's head. The system dynamically adjusts the direction in which the airbag flap is removed and the airbag's inflation pressure, ensuring optimal safety by adapting the deployment to the predicted head position at the moment of impact.

Automotive
2019
Method for Identifying a Hand Pose in a Vehicle

A method for activating vehicle functions via hand gestures, utilizing a 3D Convolutional Neural Network (3D-CNN) and Gated Recurrent Unit (GRU) to analyze video frames and extract spatio-temporal features. A prediction module simultaneously assesses the gesture's progression and classifies it, employing predefined models to determine the gesture's type and its completion rate. Upon accurate detection and classification, a corresponding event is triggered within the vehicle.

Human Sensing
2011
Computer-implemented method and apparatus for tracking and reshaping a human shaped figure in a digital world video

The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.

Publications

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