Gregory P. Meyer, Ph.D.

Principal Research Scientist
Motional
Email:

Currently, I'm a principal research scientist at Motional working on perception algorithms for self-driving vehicles. Previously, I was a senior software engineer and research lead at Uber Advanced Technologies Group. Before that, I was a graduate student at the University of Illinois at Urbana-Champaign where I was advised by Minh N. Do.

Education

University of Illinois at Urbana-Champaign, Aug. 2014 - Dec. 2016
Doctor of Philosophy, Computer Engineering
GPA: 3.92/4.00
University of Illinois at Urbana-Champaign, Aug. 2011 - May 2014
Master of Science, Computer Engineering
GPA: 3.91/4.00
University of Illinois at Urbana-Champaign, Jan. 2008 - Dec. 2010
Bachelor of Science, Computer Engineering
GPA: 3.55/4.00

Experience

Principal Research Scientist, Feb. 2021 - Present, Motional
Senior Software Engineer, Jan. 2017 - Feb. 2021, Uber Advanced Technologies Group
Led the research into methods for real-time 3D object detection and motion forecasting utilizing LiDARs and cameras for self-driving vehicles.
Software Engineering Intern, May 2015 - Aug. 2015, Google
Worked with the Jump team to develop a technique for capturing a room-size environment with the Jump camera.
Research Intern, Aug. 2014 - Jan. 2015, NVIDIA
Worked with the Mobile Visual Computing group at NVIDIA Research to develop a method for estimating the pose of a person's head using a low-cost depth camera.
Software Engineering Intern, May 2014 - Aug. 2014, Google
Worked with the Photo Editing team to develop techniques for editing photos using depth information.
Software Engineering Intern, May 2013 - Aug. 2013, Google
Worked with the Google Objects team at Google Research to construct a system for capturing a coarse 3D model of an object using a depth camera.
Member of Technical Staff, Jan. 2010 - May 2013, Personify Inc.
Designed and implemented real-time algorithms to segment video frames into foreground and background regions using depth and color information.

Publications

G. P Meyer, "An Alternative Probabilistic Interpretation of the Huber Loss," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF]
G. P. Meyer, J. Charland, S. Pandey, A. Laddha, S. Gautam, C. Vallespi-Gonzalez, C. K. Wellington, "LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting," in IEEE Robotics and Automation Letters, 2020. [PDF]
S. Gautam, G. P. Meyer, C. Vallespi-Gonzalez, B. C. Becker, "SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles," in Proceedings of the IROS Workshop on Planning, Perception, Navigation for Intelligent Vehicle, 2020. [PDF]
G. P Meyer, N. Thakurdesai, "Learning an Uncertainty-Aware Object Detector for Autonomous Driving," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. [PDF]
G. P Meyer, J. Charland, D. Hegde, A. Laddha, C. Vallespi-Gonzalez, "Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. [PDF]
G. P Meyer, A. Laddha, E. Kee, C. Vallespi-Gonzalez, C. K. Wellington, "LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [PDF]
G. P. Meyer and M. N. Do, "Real-time 3D Face Verification with a Consumer Depth Camera," in Proceedings of the 15th Conference on Computer and Robot Vision (CRV), 2018. [PDF]
G. P. Meyer, S. Alfano, and M. N. Do, "Improving Face Detection with Depth," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016. [PDF] [Code]
G. P. Meyer, S. Gupta, I. Frosio, D. Reddy, and J. Kautz, "Robust Model-based 3D Head Pose Estimation," in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015. [PDF]
G. P. Meyer and M. N. Do, "3D GrabCut: Interactive foreground extraction for reconstructed 3D scenes," in Proceedings of the Eurographics Workshop on 3D Object Retrieval (3DOR), 2015. [PDF]
G. P. Meyer and M. N. Do, "Real-time 3D face modeling with a commodity depth camera," in IEEE International Conference on Multimedia and Expo (ICME), 2013. [PDF] [Code]

Patents

C. Vallespi-Gonzalez, A. Laddha, G. P. Meyer, E. Kee, "Hybrid-view lidar-based object detection," US Patent 17 067 135, Jan. 28, 2021.
G. P. Meyer, S. Gupta, I. Frosio, D. Reddy, and J. Kautz, "Model-based three-dimensional head pose estimation," US Patent 9 830 703, Nov. 28, 2017.
Q. H. Nguyen, G. P. Meyer, M. N. Do, D. Lin, and S. J. Patel, "Systems and methods for accurate user foreground video extraction," US Patent 8 818 028, Aug. 26, 2014.