Jean-Yves Bouguet has been leading the computer vision group at Magic Leap since 2013. He is heading a team of researchers and engineers that is developing all of the core computer vision components of our Mixed Reality device including visual inertial odometry, environment reconstruction and mapping, object detection, eye tracking, and sensor calibration technologies. Our first product, the Magic Leap One Creator Edition, is now available for purchase.

From 2007 to 2013, he was a member of the founding StreetView team at Google where he designed, implemented and maintained the data processing pipeline for Streetview. He was in charge of processing all of the data collected by the Streetview vehicles driving around the world.

From 1999 to 2007, he worked at Intel Research where he conducted research on several projects in Computer Vision, Machine Learning, and Graphics. In particular, he was one of the founding members of the Open Source Computer Vision Library (OpenCV) that includes his universally used Camera Calibration Toolkit.

Jean-Yves Bouguet holds a Ph.D. from the California Institute of Technology (Caltech) where he conducted research on several topics of Geometric Computer Vision under the supervision of Prof. Pietro Perona.

He holds several patents in the field of machine vision, including a patent for a 3D scanning system based using shadows cast by a pencil, and a patent on a Hardware-accelerated visualization of surface light fields.

Ashwin Swaminathan is part of computer vision team at Magic Leap where he leads the world sensing team. His team is responsible for research and productization of key computer vision features such as Simultaneous Localization and Mapping, Object detection, Visual Inertial Odometry, and Scene semantics.

Prior to joining Magic Leap, he was with Qualcomm Research in San Diego from 2008 to 2015. At Qualcomm Research, he was involved in various computer vision and machine learning projects for applications in augmented reality and context aware computing on mobile phones. In addition, he was involved in Qualcomm’s efforts in robotics and drones.

Ashwin Swaminathan holds a Ph.D. from the University of Maryland, College Park where he conducted research in several topics in image processing, multimedia forensics, security and watermarking.

Ashwin holds 30+ patents in the field of computer vision, machine learning and Augmented Reality. He has authored 7 journal papers, 30+ conference papers with a combined 3200+ citations.

Ali Shaw-Rockney is a Principal Software Engineer in Perception Products team at Magic Leap. He received his PhD in Computer Vision from EPFL, Switzerland under Prof. Pascal Fua and Vincent Lepetit. He then obtained a Postdoc from the Robotics Lab, University of Oxford, UK under Prof. Ian Reid. He has near two decades of industrial and academic research experience in Computer Vision for 3D reconstruction and Mixed Reality with publications at major CV/ML journals and conferences.

Siddharth Choudhary is a Computer Vision Researcher/Engineer at Magic Leap where he is a part of the computer vision team since 2017. His primary research interests are in the areas of 3D Computer Vision and its intersection with Machine Learning/Deep Learning.

Siddharth holds a Ph.D. from the School of Interactive Computing, which is a part of the College of Computing at Georgia Tech. At Georgia Tech, he was associated with Cognitive Robotics and BORG lab and was advised by Prof. Henrik I. Christensen and Prof. Frank Dellaert. Prior to that, he completed my Bachelors and Masters in Computer Science from IIIT Hyderabad in July 2012 working with Prof. P J Narayanan at CVIT. Siddharth has co-authored more than 10 publications in leading robotics and computer vision conferences.

Prateek is a lead computer vision research engineer at Magic Leap, leading the team on Object recognition and Scene Understanding. Previously, he led the team for large scale persistence on the device and is one of the core members for tracking and mapping algorithms on Magic Leap One.

Prior to Magic Leap, he got his Masters from Georgia Tech, where he worked on creating semantically rich maps. Prateek, has done his undergraduate studies from IIT BHU, also worked at IIIT Hyderabad on dynamic motion segmentation for autonomous cars.

Prajwal Chidananda is part of the Human Centered AI (HCAI) team at Magic Leap where he works on hand gesture recognition. His research interests include Fully articulated 3D hand tracking; Mesh-based learning and Human pose estimation.

Prajwal Chidananda holds a Master’s degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh where he studied topics such as Computer Vision, Deep Learning, Convex Optimization, Distributed Systems and Large Scale Machine Learning. While at CMU, he was a Research Assistant at CyLab-Biometrics where he conducted research on Real-time Face Biometrics using Deep Learning.